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REMOTE
New York, NY; San Francisco, CA
Machine Learning Engineer
San Francisco, CA or Remote
About Refuel.ai

The Mission

The team
Refuel.ai was founded in 2021 by Rishabh Bhargava and Nihit Desai. Our founders bring machine learning and product experience from the world's leading technology companies (Facebook, Instagram, Primer.ai and Cloudera) and institutions (Stanford, Cambridge and UIUC). We are backed by General Catalyst, XYZ Ventures and a host of successful and influential angel investors from places like Stanford, OpenAI, Datadog and Facebook.

What you will do

    • Develop the core machine learning algorithms powering our platform, in domains such as representation learning, clustering and outlier detection in high dimensional spaces, improving label quality in real-world datasets, and active learning.
    • Keep up with state-of-the-art research in machine learning for content understanding. Apply state of the art deep learning models developed internally and from the research community to solve problems for our customers.
    • Work closely with the rest of our engineering and design teams to identify feature and scalability improvements to our product. 
    • Help define and evolve our engineering stack as we scale the product.
    • Help us hire a world-class team and mentor new team members.

You will be a great fit if you have

    • Experience building ML applications for unstructured data (image, video, text, audio streams) including data collection, model development and deployment.
    • Familiarity with Python programming language. Hands-on experience with at least one of the popular deep learning frameworks like PyTorch and TensorFlow is a big plus.
    • Strong communication skills and enjoy working in a collaborative environment. We encourage open discussion and want the best ideas to win.
    • A curiosity about the early startup and company building journey.
    • Bonus: experience working with Machine learning stack in AWS, or published research in machine learning or related fields at conferences/journals

Our current tech stack

    • Infrastructure - AWS + Serverless + Kubernetes + secret sauce infra to power modern ML
    • Backend - Python + FastAPI + Postgres + DynamoDB
    • Frontend - React + Typescript
What we offer

We have raised funding from top-tier investors, including General Catalyst, XYZ Ventures and a host of successful angel investors from places such as Stanford, OpenAI, Facebook and Datadog. We will offer a competitive salary and meaningful equity in the company.

Most importantly, you will have the opportunity to create a massive impact on the product and company as a member of our early team. We care a lot about making a difference for our customers while working on a team where we are empowered to do the best work of our lives.
Full-time
Mid Level
Director of Machine Learning Platform Engineering
Boston, MA
At WHOOP, we're on a mission to unlock human performance. WHOOP empowers its members to perform at a higher level by providing a deep understanding of the interactions between their unique physiology and chosen behaviors. 

We’re looking for a talented leader for our ML platform team. This team owns a suite of tools and services that scientists use during the research, experimentation, and production phases of ML development to enable state of the art data science. You will play a pivotal role in ensuring the reliability, scalability, and performance of our machine learning infrastructure, enabling WHOOP to continue pushing the boundaries of human performance. The ideal candidate has a proven track record leading a cross-functional team, is able to identify new opportunities to leverage our large and growing dataset, and is excited to work with physiological data. 

RESPONSIBILITIES:

    • Team Leadership: Build and manage a high-performing engineering team, providing mentorship, guidance, and support to facilitate their professional growth. Foster a collaborative and inclusive team culture
    • Data Platform Strategy: Develop and execute the technical vision and roadmap for the data science platform, aligning it with WHOOP's overall business objectives. Drive innovation and identify opportunities to leverage emerging technologies
    • Data Infrastructure: Oversee the design, development, deployment, and maintenance of WHOOP's data infrastructure, ensuring its reliability, scalability, and security. Architect robust and efficient systems for data collection, storage, processing, and analysis
    • Model Development and Deployment: Collaborate with data science on end to end development and deployment of machine learning models including data preprocessing, feature engineering, model training, model evaluation, and model integration into production systems. Additionally implement and manage model versioning, tracking, and monitoring systems
    • Collaboration: Collaborate closely with cross-functional teams, including data scientists, product managers, and software engineers, to understand their requirements and provide scalable solutions. Act as a bridge among the data science and engineering teams, fostering effective communication and knowledge sharing
    • Technical Leadership: Stay abreast of the latest trends and advancements, and provide thought leadership to advance the team internally and evangelize the team externally
    • Reports to the Senior Vice President of Data Science and Research

QUALIFICATIONS:

    • Education: Bachelor's or advanced degree in computer science, engineering, or a related field. A strong academic background in data science and machine learning is desirable
    • Experience: Minimum of 10 years of relevant experience, with at least 2 years in a leadership capacity. Prior experience developing and scaling data platforms for machine learning applications required
    • Technical Skills: Proficiency in designing and implementing large-scale data processing and end-to-end ML pipelines. Strong expertise in cloud platforms and related services, such as AWS. Proficiency in Python and relevant data processing and manipulating libraries. Familiarity with data governance, security, and privacy requirements
    • Leadership Abilities: Demonstrated success in leading and managing high-performing engineering teams. Strong interpersonal skills with the ability to collaborate effectively with diverse stakeholders. Proven track record of driving technical innovation and delivering complex projects on time and within budget
    • Passion for Data and motivation to contribute to the advancement of human performance through data-driven insights
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. 

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

Full-time
Senior
FourthBrain - Machine Learning Instructor - Remote
United States
FourthBrain educates aspiring Machine Learning engineers on the technical and practical skills required to provide immediate value to an AI product development or R&D team.  Our programs emphasize open collaboration and communication, and our unique approach to cohort-based learning is aimed at helping students achieve their personal career goals.

Our Instructional Team includes several roles and responsibilities, and you may work in one area or several, depending on your background, expertise, and interests. You will work closely with the Director of Product at FourthBrain to leverage their technical skills in ML to manage a cohort of students in a part-time ML training program. Your experience in the AI industry, ability to communicate, technical coding skills, will all be critical for this role. Experience in education is a plus but not strictly required.

We offer programs in Machine Learning Engineering and MLOps

What You May Be Doing:

    • Deliver live class session(s) for a total of 5-6 hours each week. These sessions will be on the weekends or evenings (schedule is variable by cohort, but consistent throughout the entire program)
    • Provide feedback to students on their assignments and projects, either asynchronously or in calls/meetings
    • Manage classroom tools and environments
    • Develop student assignments
    • Develop teaching materials like slides, code samples, discussion prompts, etc.
    • Hold office hours (60-90 mins) a week, which could be on evenings and weekends, to assist students with their weekly work

What You Must Bring:

    • Professional experience in Machine Learning, Data Science, Artificial Intelligence, and/or MLOps
    • Excellent written and verbal communication skills
    • Interest in student engagement, motivation, and teaching

It's Nice if You Have:

    • Previous experience as an instructor or lecturer in the areas of AI, machine learning, data science, robotics or similar
    • Academic experience in these areas is nice but not required
    • Experience with instructional design best practices as well as experience designing and teaching technical courses
At AI Fund and FourthBrain, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. AI Fund and FourthBrain believe that diversity and inclusion among our employees is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.

About AI Fund:FourthBrain is backed by AI Fund, a venture studio that harnesses the use of artificial intelligence to create innovative solutions for the big challenges of today. With the collective aspirations of our co-founders, we build companies from inception to market launch. We innovate, ideate, and validate to address some of the most pressing issues in human capital, healthcare, wellness, and other traditional industries. Founded in 2017 by Dr. Andrew Ng, the $176 million-dollar funded venture studio is backed by top-tier VC firms and investors, along with the AI Fund teams’ combined experiences as AI pioneers, entrepreneurs, venture capitalists, and operators.
Los Angeles, CA
Remote
Senior Machine Learning Engineer
Lexington, MA
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

Anduril’s Imaging Team develops state-of-the-art imaging systems, deployed to tackle the most significant security challenges of America and its allies. We are looking for a Senior Machine Learning Engineer to join our Perception group to guide the evolution of our novel infrared sensor processing system. You will leverage your experience to rapidly architect, design, deliver, and support the next generation vision based ML learning tools and pipelines for object detection, segmentation, localization, tracking, and recognition.

WHAT YOU’LL DO

    • Leverage machine learning to enable both non-conventional imaging and conventional imaging to do classification and image segmentation
    • Lead the design, development, integration and support of machine learning based sensor processing capabilities for a variety of IR systems and modalities
    • Develop software to manage and automate the machine learning lifecycle, including data management, pipelining, labeling, and training
    • Manage model selection, training, validation, evaluation, deployment, and regression testing
    • Manage training data sourcing
    • Work as a member of a multi-disciplinary software team, including as a mentor for Software Engineers from differing backgrounds
    • Deploy networks to on the edge compute
    • Travel 2-5 times per year

REQUIRED QUALIFICATIONS

    • Bachelor of Science degree in computer science or related field, or equivalent work experience
    • Experience with machine learning, artificial intelligence, and/or computer vision
    • Previously developed and deployed ML architectures for vision based products
    • Experience applying ML architectures toward live, low compute constrained environments
    • Background in software development (C++ or Python experience required)
    • Strong analytical & critical thinking and problem-solving skills and an ability to communicate ideas clearly
    • Team-player, self-motivated, driven, organized
    • Must be eligible to obtain and maintain a U.S. TS clearance

PREFERRED QUALIFICATIONS

    • Familiarity with Transformers, DNN, Segmentation Networks, RCNN, YOLO, GANs, Random Forrests
    • Understands classical CV algorithms such as Optic Flow, SIFT, PCA

BENEFITS

    • Top tier Platinum coverage for medical, dental, vision, and life - covering 100% of you and your dependents’ premiums
    • Flexible paid time off vacation policy and an annual bonus for any week-long trip you take
    • Free food options, including lunch, coffee and beverage options, snacks, and more!
    • Phone bill reimbursement
    • Transit and parking benefits
    • 16 weeks fully paid parental leave
    • Family planning support - fertility planning and treatment, adoption support, gestational carrier support and fertility preservation are all included
    • An annual stipend to use for continuing education courses, programs, conferences, or certification tests
$132,000 - $240,000 a year
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in all offers and are considered part of Anduril’s total compensation package. Additionally, Anduril offers top-tier benefits, including comprehensive medical, dental, and vision plans, employee life and disability, mental health and family planning benefits with all premiums paid by Anduril. Anduril provides fully paid medical leave, paid company holidays, and paid time off. A professional development stipend is available to all Andurilians and all on-site meals are fully subsidized during the work week through use of our gourmet kitchens. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we’d love to hear from you!
Full-time
Senior
Computer Vision
London
New York, NY
Chicago, IL
Foster City, CA
Machine Learning Engineer
Remote, US
ISEE is seeking a full-time Machine Learning Engineer to join our team. The ideal candidate has several years of work experience.

Role responsibilities include:
- Working on the intersection of sensing and perception algorithms.
- Prototyping and deploying robust computer vision algorithms on ISEE’s vehicle fleet in areas of: Sensor calibration, localization and mapping, fusion, tracking and pattern recognition.
- Benchmarking and maintaining developed modules.
- Work independently to deliver high-quality code in a timely fashion.
- Collaborate with team for testing, evaluation and review of code.

Required Qualifications
- Degree in Computer Science, Electrical Engineering, Robotics or related field.
- Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow, Caffe.
- Hands-on experience with developing, training and deploying deep learning models in multimodal (sensors space and temporal) real world data.
- Strong Python and/or C++ skills.
- Passionate about self-driving vehicles and real-world robotic solutions.
- Strong presentation and communication skills.

Preferred
- Publication record in top-tier computer vision or machine learning conferences.
- 3+ yrs industrial experience in deploying Computer Vision/Deep learning algorithms in real-world scenarios.
- Robotics/autonomous experience is a plus.
Full-time
Mid Level
Computer Vision
Amsterdam, North Holland
Machine Learning Engineer, Fulfillment / Supply Chain
Toronto, Canada
At Loblaw Digital, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experiences, or designing an app that will impact the lives of people across the country, we’re up for the challenge. Loblaw Digital is the team responsible for building and operating the online businesses of Canada’s largest and most successful retailer. Based in downtown Toronto, we are an entrepreneurial, fast-paced, and collaborative team working towards transforming the way Canadians shop by creating leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, loyalty, and apparel spaces, and we’re only just getting started! To achieve these goals, we are looking for talented and passionate individuals who want to collaborate and solve challenging problems and make significant and lasting impact on Canadians. 

As a Machine Learning Engineer on our team, you will be a key member of a team that has the goal of developing complete machine learning solutions that helps us build a better fulfillment platform that improves our customers’ experience as well as colleagues working in store operations. Leveraging the wealth of operational data available you’ll focus on delivering solutions that predict, forecast & optimize how we manage our inventory and our fulfillment capacity to provide a fulfillment experience that balances a complex trade-off between ensuring millions of Canadians who shop with us get their orders in a timely fashion and ensuring our operational & fulfillment costs stay low.

Your work requires communicating with an array of business stakeholders across Store Operations, Fulfillment Software Engineering Teams, Product Management, and Online Analytics to name a few primary ones. From brainstorming on numerous options to solve a problem, through deploying the completed solution in a production environment, you will partner with colleagues who offer a diverse set of ideas that are all immensely valuable to our purpose and mission.

What you'll Do

    • Communicate cross-functionally with business teams — Product, Store Operations, Fulfillment Specialist, Store & Area Managers— to source data, establish requirements and define success
    • Code robust, scalable, high-performance ML solutions based on massive structured and unstructured datasets from various sources
    • Collaborate with Engineering and Data Platform teams to build and deploy your ML models into production
    • Design experiments to measure the effectiveness of your product in driving a seamless fulfillment experience through key metrics such as labour rate, pick efficiency, orders ready of time, fill rate etc.
    • Document and share, findings and results in a structured manner with stakeholders, as well as drive technical discussions with other Data Science teams

Does this sound like you?

    • MS or Ph.D. in a STEM field — especially computer science — or BS plus equivalent work experience in a Data Scientist or a closely related role
    • A portfolio including work in the domain of data science and ML with a focus on predictive analytics, time series forecasting, operations research & supply chain optimization
    • Creative, resourceful, and productive problem-solver
    • Passion for applying data science to dynamic open-ended problems
    • Able to work independently and collaboratively
    • Comfortable with advanced SQL querying
    • Proficient in Python programming
    • Experience in shell scripting/unix 
    • Experience with big-data tools, e.g. Spark, Beam, Kafka
    • Experience with Airflow for workflow scheduling
    • Experience with or working knowledge of a public cloud AWS, GCP, Azure
    • Experience with or knowledge of software development best practices
How you’ll succeed

At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections. We’re able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce. You will get to work with some of the best digital minds and will have the support of world class technologies to craft products our customers will love!

Loblaw Digital recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. In addition, we believe that compliance with laws is about doing the right thing.  Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

Full-time
Mid Level
San Francisco, NYC, or North America-based remote
Chicago, IL
Senior Machine Learning Engineer (Computer Vision)
Sydney
Anduril is a defence technology company, bringing Silicon Valley talent and funding to the defence sector. Our technology helps our customers solve their toughest challenges by enabling them to make better, more informed decisions in life-and-death situations. We’ve assembled a diverse team of experts in artificial intelligence, computer vision, sensor fusion, optics, and data analysis to create software and hardware solutions that radically evolve the defence capabilities of the United States, and are now seeking to replicate our successes internationally with a team based in Australia. If you are passionate about solving problems that have real impact, we want you to join Anduril and help us build the future of defence capability.

At Anduril Australia we are developing unmanned systems for subsurface and other domains that will leverage unsupervised autonomy for the delivery of long endurance, multi-mission capability to our customers. These projects, including but not limited to the Extra Large Autonomous Undersea Vehicle (XL-AUV) Program, require a Senior Machine Learning Engineer with deep experience developing, testing, validating and deploying machine-learning based sensor processing and the technical toolchains they rely on. The Senior Machine Learning Engineer strives to leverage their experience to rapidly architect, design, deliver, support, and evolve next generation autonomous vehicles through the entire product life-cycle.

WHAT YOU’LL DO

    • Lead the design, development, integration and support of machine learning based sensor processing capabilities for a variety of autonomous systems across multiple sensor modalities
    • Develop software to manage and automate the machine learning lifecycle, including data management, pipelining, labeling and training
    • Manage model selection, training, validation, evaluation, deployment and regression testing
    • Manage training data sourcing and integration
    • Work as a member of a multi-disciplinary software team, including as a mentor for Software Engineers from differing backgrounds

REQUIRED QUALIFICATIONS

    • Bachelor’s degree in Robotics, Mechatronics, Computer Science, Engineering, a relevant field, or equivalent experience
    • Experience in a senior role with the delivery of a production grade software system with a mature machine learning component
    • Experience with the design, implementation and maintenance of ML Operations, including data acquisition, labeling, curation and pipeline management.
    • Experience with the delivery of computer vision capabilities
    • Capacity to work holistically on machine learning enabled capabilities up and down the software stack and through lifecycle through design, implementation, operation and sustainment
    • Capacity learn and grow individually, while mentoring junior team members effectively, building team cohesion and capacity
    • Ability to obtain and maintain an Australian Government Security Clearance

PREFERRED QUALIFICATIONS

    • Experience with the delivery of capability with a public sector customer
    • Experience with workflow management tools such as flyte, airflow, and kubeflow
    • Experience with deep learning frameworks such as PyTorch
    • Experience with edge ML applications
    • Experience with inference engines such as TensorRT
    • Experience writing C++, Go, Python or Rust
    • Desire to grow in to a Tech-Lead-Manager role, with responsibility for line management of engineers, in addition to delivery


Anduril is an equal-opportunity employer, and we encourage candidates from all backgrounds to apply. If you are someone passionate to work on problems that matter, we’d love to hear from you!
Full-time
Senior
Computer Vision
Remote-US
San Francisco, CA
Calabasas, CA
Senior Data Scientist, Machine Learning & Algorithms
New York, New York, US
Hinge is seeking a versatile data scientist to work on anti-fraud and anti-abuse initiatives in our Trust, Safety, and Support (TSS) product group. You will work with a team of data scientists, data analysts, and machine learning engineers to build robust and scalable solutions to keep our users safe.

Responsibilities:

    • Collaborate with a cross-functional team of product managers, data scientists, and engineers to develop and deploy data-driven solutions to mitigate the impact of bad actors
    • Use a combination of exploratory analysis and data mining techniques to generate actionable insights about bad actor attributes and behaviors
    • Assist in the identification and prioritization of projects aimed at reducing harm on Hinge
    • Communicate effectively to audiences of various technical and non-technical backgrounds
    • Apply statistical inference to draw rigorous conclusions from data
    • Contribute to a culture of empathy and technical excellence

What We're Looking For:

    • 3+ years of experience as data scientist/machine learning engineer
    • 2+ years of experience in applying machine learning models in an industry setting
    • 1+ year experience conducting (near) real-time natural language processing (NLP) and text analysis
    • Strong knowledge of machine learning and statistics
    • Proficiency in SQL and Python
    • Familiarity with deep learning frameworks
    • Superb communication skills
    • Deep sense of intellectual curiosity
    • Ability to balance rigor with practicality
$177,500 - $213,000 a year
The salary range for this position is $177,500 — $213,000. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.
Our Company:
Hinge is the dating app designed to be deleted. In today’s digital world, singles are so focused on sending likes and looking through profiles that they’re not actually building meaningful connections and finding relationships. Hinge is on a mission to change that by designing the most effective app experience. On Hinge, there are no rules, timers, or games. Instead, you’ll have unique conversations over the text, photos, and audio you’ve shared on your profile. And it’s resonating with daters. Currently we’re setting up a date every three seconds.

Our Culture:
- Authenticity: Share your genuine thoughts and opinions directly. 
- Courage: Invite and deeply consider challenges and criticism.
- Empathy: Be empathetic, communitarian and trustworthy. 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Full-time
Senior
Bangalore
Machine Learning Engineer
Remote USA
Kinoo is an ed-tech startup developing a completely novel, AI-enabled, hands-on technology to tackle the global literacy crisis, helping young children develop essential reading skills while nurturing a lifelong passion for reading and learning - without screens. We are committed to empowering families and driving a quantum leap in literacy and education around the world. We are seeking an experienced Machine Learning Pipeline Engineer to join the Kinoo engineering team to help develop, optimize, and maintain our training pipelines and synthetic data generation processes.

This role might be for you if:
You are an experienced Machine Learning Engineer who thrives in a fast paced start up environment. You have a strong background in Python, experience with machine learning frameworks, and an interest in learning new technologies such as Unity and embedded devices. This is a full time 6 month contract, with the potential to convert to full-time permanent employment.

Responsibilities:

    • Design, implement, and optimize cv machine learning models and pipeline
    • Collaborate with the team to advance our synthetic training data generators using Unity
    • Create tools that help us analyze the results of our training in order to point us toward new augmentations or training methods we can use to improve out models
    • Assist in integrating machine learning models into embedded devices for inference
    • Communicate with various departments/teams to gather requirements, create documentation, and execute tasks based on project priorities

Requirements:

    • Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, or similar)
    • BS in Computer Science, Computer Engineering, Data Science, or related field
    • 3+ years experience as an ML/CV engineer
    • Experience in developing and optimizing machine learning pipelines
    • Strong understanding of algorithms, data structures, and software design principles
    • Familiarity with version control systems (Git, SVN)
    • Familiarity with cloud computing infrastructure (AWS)
    • Willingness to learn and work with Unity for synthetic data generation
    • Interest in embedded devices and running inference in firmware

Nice to have's:

    • Understanding of classification algorithms, CNNs, and related ML techniques
    • Knowledge of mathematical, statistical & programmatic details within CV
    • Familiarity in text extraction, object detection, and semantic segmentation
    • Experience with Unity or other game engines for synthetic data generation
    • Understanding of embedded systems and firmware development
    • Experience working in a fast-paced, startup environment

    • The target salary range for this position is $9,000 - $10,000 per month +/- DOE. This is a 6 month full time contract with potential to convert to a full time permanent employee.
A bit about our R.I.S.E. culture at Kinoo:

The R.I.S.E. acronym captures the essence of our company's culture and serves as a guiding framework for our team's actions and decisions. By embracing these values, we strive to create a thriving and dynamic work environment where every team member can contribute their best and grow both personally and professionally, while also empowering families and making a lasting difference in the world of education and literacy.

Resilience (R):Our team is characterized by its resilience, adaptability, and determination. We embrace challenges head-on, learn from setbacks, and bounce back with creative solutions and a positive outlook. Our resilience fuels our drive to achieve excellence and deliver groundbreaking products that will impact the lives of millions of young learners.

Innovation (I):Innovation is at the heart of our culture. We encourage our team members to think creatively, explore new ideas, and push the boundaries of what's possible. We are committed to staying at the forefront of our industry, constantly seeking innovative ways to solve problems and improve the experiences of our users.

Support (S):We believe that a supportive work environment is crucial for our team's success and well-being. We prioritize open communication, mutual respect, gratitude, and genuine care for one another. Our team members collaborate, share knowledge, and lift each other up, creating a strong foundation for achieving our goals together.

Empowerment (E):Empowerment is central to our culture. We trust and invest in our team members, providing them with the tools, resources, and autonomy they need to excel in their roles. We recognize and celebrate individual strengths, fostering a sense of ownership and accountability that drives us to deliver exceptional results. Beyond our team, we are committed to empowering families by offering products and services that support their role in nurturing their children's education, well-being, and development.

Location: Kinoo is a virtual, distributed team with close, continuous connection and support.  While we prefer candidates in the same time zone (west coast), we are much more interested in your skills and talents than where you work. You need to be able to work at home and join our full team (1-2 times per year) for in-person planning, activities, work and fun.


Kinoo is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Full-time
Mid Level
New York City San Francisco / Los Angeles / Remote /
Seattle, WA
United States, Remote
Toronto, Canada
Seattle, WA
Sr. Machine Learning Scientist
Remote-US
About Us: Artera is an AI startup that develops medical artificial intelligence tests to personalize therapy for cancer patients. Artera is on a mission to personalize medical decisions for patients and physicians on a global scale.

As a Senior Machine Learning Scientist at Artera, you will work with a team of machine learning scientists and engineers to develop AI-based biomarkers to support the personalization of cancer therapy. Using digital imagery and clinical data you will design multi-modal computer vision and machine/deep learning models that can prognosticate patient outcomes and predict response to therapy.

Essential Responsibilities:

    • Leading the technical effort of developing novel biomarkers alongside fellow ML scientists, engineers, biostatisticians, and scientific directors
    • Design and develop innovative computer vision models that predict patient outcomes and responses to therapy
    • Aid in the productionalization, launch, and monitoring of machine learning products
    • Research and development of machine learning algorithms that expand product capabilities
    • Contribute to and drive publications in scientific journals and machine learning conferences
    • Help grow and mentor a team of machine learning scientists and engineers

Education and Experience Requirements:

    • 3+ years of industry experience using PyTorch or TensorFlow
    • 2+ years of experience as a technical lead
    • Experience launching and maintaining products in a production environment
    • Experience communicating technical (ML) details to a cross-functional team of non-technical collaborators.
Equal Employee Opportunity: At Artera, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients and physicians. As an equal opportunity employer, we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.
Full-time
Senior
Lead, Machine Learning Engineering & AI Research
Boston, Massachusetts
Company Overview
 
Computation is revolutionizing drug discovery. Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.


We can count on you to…

    • Act as both an Individual Contributor (IC), who can roll up her sleeve, and play an important role in our mission to use AI/ML to develop drugs against historically difficult disease targets, as well as a Leader who can build and grow the ML Engineering & AI Research team over time

Your key responsibilities will include… 

    • Own 
    • Propose innovative AI/ML models that address specific use cases in our drug discovery process 
    • Develop and launch prototype models 
    • Own the company’s Microsoft Azure Infrastrucure 
    • Productionize AI/ML models on Azure
    • Grow the team 
    • Teach 
    • Teach their cross-disciplinary colleagues from Computational Chemistry, Medicinal Chemistry, Computational Biology, Cell Biology, and Pharmacology, how AI/ML can solve important problems for them 
    • Learn 
    • Drug discovery and development 
    • Improve 
    • Our existing process for incorporating AI/ML into drug discovery 

Within 1 month this person will…

    • Form a view on which AI/ML models address the highest need use cases in our drug discovery process 
    • Begin prototyping AI/ML models on Azure 

Within 3 months this person will…

    • Productionize AI/ML models on Azure that would become a cornerstone of the company’s drug discovery efforts 

Within 6 months this person will…

    • Continue improving the first set of production-grade AI/ML models on Azure 
    • Build and productionize improved AI/ML models on Azure to harmonize and accelerate our drug discovery process 

Within 1 year this person will…

    • Grow the team with new hires including ML Engineers, AI Researchers, and Product Managers 

Compensation and Benefits

    • Extremely generous equity package coupled with competitive salary 
    • Healthcare benefits 
    • Generous vacation and parental leave 
    • Super cool team building activities 
    • Flexible work schedule 
    • Great colleagues 

Full-time
Senior
Senior Machine Learning Engineer, Gigster Network
United States
Do you want to work on cutting-edge projects with the world’s best developers? Do you wish you could control which projects to work on and choose your own pay rate? Are you interested in the future of work and how the cloud will form teams? If so - the Gigster Talent Network is for you.

At Gigster, whether working with entrepreneurs to realize 'the next great vision' or with Fortune 500 companies to deliver a big product launch, we build really cool solutions that make a difference! From blockchain to AI/ML to VR and more, Gigster builds enterprise software on cutting-edge technology.

We are seeking talented Senior Machine Learning Engineers to join our Talent Network and help shape the future of our business through valuable contributions to our projects. The successful candidate will be passionate about data and machine learning, with a strong background in Python and experience developing and implementing machine learning models.

Responsibilities

    •  Developing and implementing machine learning models to solve complex business problems.
    •  Analyzing data and uncovering insights that drive business value.
    •  Testing extensively to ensure the accuracy and reliability of models.
    •  Collaborating closely with team members and proactively communicating any blockers the project faces.

Requirements

    •  Minimum of 4 years of experience developing and implementing Machine Learning models.
    •  Strong understanding of machine learning algorithms, statistical modeling, and data analysis tools such as NumPy, Pandas, and Sikit-learn.
    •  Strong programming skills in Python and experience with software development tools like Docker or Git.
    •  Experience with frameworks such as TensorFlow, PyTorch, or Keras.
    •  Experience analyzing large datasets and uncovering insights using tools such as Spark or Dask.
    •  Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

Benefits - We don’t call them perks, they’re just part of what makes working at Gigster great.

    • World-class network. Be part of a network with the most talented people in the world.
    • Amazing cutting-edge projects. Pick the projects from F500 companies that you’re interested in.
    • 100% remote and global. Live your best life, wherever that may be, and never lose out on career opportunities because of it.
    • Flexible work hours. There is a time to overlap with the customer’s timezone, but most of the time, we work asynchronously and don’t care when you’re online, just that you deliver great results.
    • Flexible offerings. Choose how many hours you want to work and how much you want to earn.
    • Swag! Because who doesn’t love swag?
The Gigster Talent Network is a highly curated set of the best software developers in the world. It’s not easy to become part of this select network - but when you do - you will work amongst the best from Silicon Valley and around the world.

Our model is unique in the software development industry. We do the hard work of finding the US clients and scoping their projects - and you get to choose from a large variety of ‘Gigs’. You can choose Gigs that fit your schedule - from 10, 20, or 40 hours a week. You also get to choose your pay rate. All projects are staffed with a project manager, full stack team, QA, and DevOps.

All of our projects are for top-tier US companies and are delivered with the highest quality. Projects range from developing NFT marketplaces to VR imaging for medical use to large AI/ML projects. We even produce a case study for every project delivered - so you can take that with you as part of your portfolio.

In parallel - you will have access to an exclusive and energized network of the world’s most skilled experts. Community members collaborate inside and outside of Gigs - as well as at local community events, online hackathons, competitions, etc. The Gigster Talent Network is more than a simple marketplace - it’s truly an exclusive club.

Are you talented enough to be in the club?
Contract
Senior
Research Scientist - Machine Learning
Remote, US
ISEE is seeking full-time Research Scientists to join our team. The ideal candidate has several years of research/work experience.

Role responsibilities include:
- Leading research contributing to the development of humanistic AI for autonomous systems
- Conducting research in the areas of: Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied Mathematics, Probabilistic Modeling and Inference or related areas
- Collaborating with engineering and business teams to develop novel solutions to real-world problems
- Designing experiments and metrics for benchmarking resultsPublishing research in top-tier conferences and journals

Qualifications:
- PhD in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Control Engineering, Machine Learning, Statistics, or a related field
- Passionate about self-driving vehicles and real-world robotics solutions.
- Experience collecting, processing, and analyzing real-world data.
- Strong presentation and communication skills.

Recommended
- Publication record in top-tier conferences in Robotics and related fields.
- Programming experience, ideally with Python and/or C++.
- Robotics experience is a plus.
Full-time
Senior
Senior Software Engineer – Machine Learning
Remote
ABOUT EVERBRIGHT
EverBright is a clean energy company on a mission to accelerate the decarbonization of residences and businesses across the United States.  We are a leading provider of financing for residential solar, storage, and energy efficiency products, fueling our rapid growth through innovative software solutions.  We understand that the energy systems of tomorrow will be clean, distributed, and powered by advanced technology. 

ABOUT THIS ROLE

As a Senior Software Engineer, you will be responsible for designing, developing, and implementing machine learning models and algorithms that drive automated PV system design within our platform. You will be responsible for applying your software expertise to refine our innovative solar design tools and optimize energy production and consumption estimations.

In addition to technical experience, you should have communication skills to effectively collaborate with other engineers on the team. You should be comfortable working in an agile development environment and have experience with agile methodologies.

WHAT YOU’LL DO

    • Build and improve our automated solar design tools through machine learning. 
    • Optimize our energy production and consumption estimations.  
    • Write automated tests. 
    • Give constructive feedback to your peers through code review. 

QUALIFICATION

    • 7+ years of experience in programming languages such as Python or C/C++ 
    • Strong understanding designing, training, and deploying machine learning models. 
    • Experience with machine learning algorithms, techniques, and libraries, such as TensorFlow, or PyTorch. 
    • Up to date with the latest advancements in machine learning, software. engineering, and industry trends to ensure the continuous improvement of our solutions. 
    • Strong leadership and communication skills. 
    • Solar industry experience is a plus. 
WHY EVERBRIGHT 
Working at EverBright is challenging and rewarding.  We hire excellent people and empower them to do excellent work.  We are passionate about our mission and care deeply about building products that people love.  At EverBright you can expect to grow professionally, make a positive impact, work hard, have fun, be respected, feel part of a community, and be proud of your work and career.  EverBright also provides generous perks and benefits, including: 

• Competitive compensation 
• 401k match and pension
• Medical, dental, vision, life, and legal insurance 
• Access to multiple offices around the US 
• EAP and mental health assistance 
• Health and wellbeing services 
• Education assistance program 
• Adoption assistance 
• Work from home tech setup 
  

Where permitted by applicable law, EverBright requires all employees and new hires to be fully vaccinated for COVID-19 or be willing to receive the COVID-19 vaccination on or before the first day of employment. 

EverBright is an Equal Opportunity Employer. Qualified applicants are considered for employment without regard to race, color, age, national origin, religion, marital status, sex, sexual orientation, gender identity, gender expression, genetics, disability, protected veteran status or any other basis prohibited by law. We are committed to a diverse and inclusive workplace. 
 
EverBright provides reasonable accommodation in its application and selection process for qualified individuals, including accommodations related to compliance with conditional job offer requirements, consistent with federal, state, and local laws. Supporting medical or religious documentation will be required where applicable and permitted by applicable law. To request a reasonable accommodation, please send an e-mail to our recruiting team, providing your name, telephone number and the best time for us to reach you. Alternatively, you may call 1-844-694-4748. Please do not use this line to inquire about your application status. 
 
EverBright will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is(a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 
  
EverBright does not accept any unsolicited resumes or referrals from any third-party recruiting firms or agencies. Please see our policy for more information. 

By clicking "APPLY FOR THIS JOB" and completing the application form, you are expressing interest in this position at EverBright and your application will be reviewed by our recruiting team. You will need to submit a formal job application with our parent company NextEra Energy further along in the interview process.
Full-time
Senior
Senior Software Engineer, Machine Learning (Match Group LLC, Dallas, TX)
Dallas, Texas, US
Use strong communication skills (written and verbal) to work with and instruct Software Engineers in the design and development of statistical machine learning or deep learning models. Design and develop statistical machine learning or deep learning models for computer vision, natural language processing, recommendation systems, or optimization. Design and develop engineering systems to deploy machine learning models. Perform deep analysis to provide insights and identify new business opportunities. Use strong communication skills (written and verbal) to work closely with engineering, analytics, product management teams to drive product development. Mentor junior team members. Advocate and employ newer, high performance machine learning techniques and technologies. Position allows telecommuting from anywhere in the U.S. Salary: $197,500 - $235,000 per year.  
 
Minimum Requirements: Bachelor’s degree or U.S. equivalent in Data Science, Applied Mathematics, Computer Engineering, Computer Science, Statistics, or a related field, plus 5 years of professional experience performing machine learning and data science analysis to provide insights and identify new business opportunities.  In lieu of a Bachelor's degree plus 5 years of experience, the employer will accept a Master's degree or U.S. equivalent in Data Science, Applied Mathematics, Computer Engineering, Computer Science, Statistics, or a related field, plus 3 years of professional experience performing machine learning and data science analysis to provide insights and identify new business opportunities.
 
Must also have experience in the following: 3 years of professional experience designing and building highly scalable distributed machine learning models; 3 years of professional experience developing statistical machine learning or deep learning models for computer vision, natural language processing, or recommendation systems; 3 years of professional experience developing data processing and data pipelines.
 
$197,500 - $235,000 a year
Why Match Group?

Our mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer:

Mind & Body  Medical, mental health, and wellness benefits to support your overall health and well-being
Financial Wellness  Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security
Unplug Generous PTO and 15 paid holidays so you can unplug
Career  Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work
Family Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts  
WFH Stipend Hybrid/remote work allowance for full time employees to help you feel comfortable and efficient in your home office environment
Company Gatherings We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging!

We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic.  Period. 
Full-time
Senior
Machine Learning Engineer
Redwood City
As a Machine Learning Engineer,  you will be working on building Machine Learning models to support our computer vision and data analysis efforts. The role will involve understanding our current systems and bringing your expertise in augmenting and developing ML models. The ability to deal with large amounts of data to create good training sets as well as robust regression pipelines is highly desired as we develop a variety of highly differentiated products to address the large market need for robust, and efficient warehouse robotics solutions. 
 
We are very interested in expertise around the subfields of semantic segmentation and instance segmentation and you will be involved in keeping up to date with the latest papers in these areas and implementing them using platforms like Tensorflow, or Pytorch. Robotics data also comes in a variety of different forms that are targets for models to help us predict and analyze behaviors emerging from our robotics systems. You will get to find and perfect the right model(s) and architecture, in addition to identifying big opportunities throughout our system that can be solved with machine learning. 
 
In order to thrive in this role you will have experience with RGBD datasets and point clouds as they are important to the type of problems you will encounter in the areas of ML for autonomous vehicles or robotics. You will have a solid grounding in writing optimized code in c++ and python and understanding limitations of various languages and frameworks. You will have the experience building your own models, training pipelines and serving infrastructure to run a production system. The end to end process of gathering and augmenting data, creating balanced training/validation/regression sets, studying the performance of different models and optimizing their quality, and finally deploying and troubleshooting the models as part of a complex robotics system will be under your purview. 
 
About Dexterity: 
At Dexterity, we believe robots can positively transform the world.  Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work.
 
We’re starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world.   Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities.  Our systems are software-driven, hardware-agnostic, and have already picked over 15 million goods in production.  And did we mention we’re customer-obsessed?  Every decision, large and small, is driven by one question – how can we empower our customers with robots to do more than they thought was possible?
 
Dexterity is one of the fastest growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures.  We’re a diverse and multidisciplinary team with a culture built on passion, trust, and dedication.  Come join Dexterity and help make intelligent robots a reality!

Required Skills:
Engineering degree in Computer Science, or a related discipline, or equivalent experience.
Strong knowledge of Modern C++ and Python.
At least 2 years of experience in building ML datasets and maintaining them on an ongoing basis. 
Experience building and maintaining production code.
Experience building and training production ML models.
Experience writing tests for code as well as models to ensure extremely high quality.
Experience with serving architectures like NVIDIA Triton and Tensorflow Serving, flask and others.

Nice to haves:
Experience using profilers and debuggers to optimize code.
Experience creating Tensorflow and Pytorch graphs.
Experience with Docker and Kubernetes.
Experience with cloud infrastructure such as AWS, GCP, Azure etc. and experience using this infrastructure to create training and serving pipelines.
Experience deploying software and configuring distributed systems.

Base pay is one element of our Total Rewards package which may also include comprehensive benefits and equity etc., depending on eligibility. The annual base salary range for this position is from $100,000 to $170,000. The actual base pay offered will be determined on factors such as years of relevant experience, skills, education etc. Decisions will be determined on a case-by-case basis.

Equal Opportunity Employer
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Full-time
Mid Level
Computer Vision
Senior Machine Learning Engineer - Retail Media Platform
Toronto, Canada
At Loblaw Digital, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experiences, or designing an app that will impact the lives of people across the country, we’re up for the challenge. Loblaw Digital is the team responsible for building and operating the online businesses of Canada’s largest and most successful retailer. Based in downtown Toronto, we are an entrepreneurial, fast-paced, and collaborative team working towards transforming the way Canadians shop by creating leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, loyalty, and apparel spaces, and we’re only just getting started! To achieve these goals, we are looking for talented and passionate individuals who want to collaborate and solve challenging problems and make significant and lasting impact on Canadians. 

As a Senior Machine Learning Engineer on our team, you will use an abundance of data from the Loblaw enterprise in order to build machine learning solutions. Your team will collaborate with business stakeholders and engineers within Loblaw Digital to deliver models to production that help in driving our Ecommerce business including Search, Recommendations, Media and Supply Chain optimization. You will design experiments to measure your success with KPIs that include adoption, conversion & retention. You will use data every single day to uncover meaningful insights that inform your experimentation strategy and ultimately, your product roadmap.


What you’ll do

    • Build robust, scalable, high performance Prediction, optimization and Recommendation ML solutions based on massive structured and unstructured data from various sources
    • Collaborate with ML platform and product engineers to build scalable and efficient machine learning systems in the production environment
    • Work cross-functionally with product and business teams on new innovative features for ad targeting and bidding to optimize advertisement performance as well as gather data and requirement and define success
    • Provide mentorship to other members of the team
    • Represent the team with technical leadership in collaborations with other software development teams

Does this sound like you?

    • MS or PhD in a STEM field — especially computer science — or equivalent work experience in a Data Scientist/Machine Learning Engineer or closely related role
    • Strong experience with building data science and machine learning solutions
    • Creative, resourceful, and productive problem-solver
    • Able to work independently and collaboratively
    • Passion for building ML solutions to fluid, open-ended problems
    • Experience in software development best practices
    • Previous experience building large scale Search Models as well as ranking/recommendation systems
    • Previous experience working in Adtech is a plus
    • Comfortable with advanced SQL querying
    • Proficient in Python and familiar with a compiled language
    • Experience with big-data tools, e.g. Spark, Beam, Kafka.
    • Experience with data viz tools such as Tableau, Looker, etc.
#LI-BT

How you’ll succeed

At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections. We’re able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce. You will get to work with some of the best digital minds and will have the support of world class technologies to craft products our customers will love!

Loblaw Digital recognizes Canada's diversity as a source of national pride and strength. We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization. Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired. In addition, we believe that compliance with laws is about doing the right thing.  Upholding the law is part of our Code of Conduct – it reinforces what our customers and stakeholders expect of us.

Full-time
Senior
ML Intern (Large Language Models)
Palo Alto, CA
About Moonhub

We're on a mission to enable human potential.

Moonhub is building the world's first AI recruiter. We believe talent and skills are universal, but the systems to identify them aren't. Moonhub solves this critical problem with the world's first conversational AI recruiter trained on billions of people datapoints to help hiring managers and organizations take control of the hiring process, working with an AI to find and retain the best talent for their teams at a fraction of the cost.

Core to our solution are large language models and conversational AI features that power our AI recruiter. Our team consists of ex Stanford Computer Science PhDs and MBAs, highly cited NLP researchers on ground-breaking papers like Bloom / Superglue / etc, papers, ex Twitter Cortex and Meta ML leads and more world-class AI and HR experts.

We are building the future of equitable opportunity. In line with this, we believe in a diverse and inclusive team where everyone is welcome. 

Your Role

We are looking for full-time interns this summer to work on conversational search, from designing and running experiments based on product needs, collecting and cleaning data, and deploying them in production. We are looking for entrepreneurially-minded people who identify as both a scientist and engineer, and want to apply state of the art research to people search.

Moonhub is a remote / hybrid company with a strong emphasis on engineering and product at the heart of teams.

What You’ll Do

- Design and run experiments on how to best finetune our in-house LLM models. 
- Deploy these custom models end-to-end alongside our ML engineering team.
- Build new MLOps tools from 0 > 1 inside our existing platforms. 
- Work closely with leadership and customers to understand large-scale recruiting and HR pain points, and develop state-of-art machine learning solutions for them. 
- Write production ready code with speed, cost, and usability in mind
- Have the opportunity to work on publications and patents. 
- Contribute to building a culture where everyone is an owner. We ship fast and build trust as a team. 

Skills & Qualifications 

- Experience with finetuning large language models
- 2+ years of experience working directly with large language models
- Deep knowledge of machine learning frameworks such as Pytorch and Deepspeed. 
- (Highly preferred) at least one accepted paper at a top ML conference
- Strong background in programming languages such as Python and C++
- Entrepreneurial spirit and willingness to adjust to dynamic customer needs 
- Desire to grow quickly by going above and beyond expectations  

Moonhub is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. 
Full-time
Generative Models
Expression of Interest (Member of Technical Staff)
Berkeley, CA
[Not currently hiring, though applicants will be evaluated in the future.]

We are working on various engineering-heavy ML-based alignment projects, like this paper we recently published on High-stakes Alignment via Adversarial Training. We’re hiring for technical staff to contribute to these projects, doing some combination of machine learning, engineering and reasoning about AI alignment.

We are accepting applications for full time positions and internships.

On the ML research side, responsibilities include:

    • Designing, running, and analyzing experiments
    • Proposing and testing hypotheses for improving model performance
    • Reasoning about how to apply ML algorithms to new situations, and about what techniques might be expected to scale well with future capabilities

On the engineering side, responsibilities include:

    • Building infrastructure required to make our research productive, e.g. infrastructure for running large hyperparameter searches on the cloud. 
    • Solving various software problems quickly, eg building a web app for data collection and quickly refining it based on human feedback.
    • Building out our codebases for ML projects in ways that maintain the robustness of the code while improving the flexibility of the experiments that we can run with it.

We're looking for candidates with the following properties:

    • Are comfortable switching between responsibilities rapidly as the needs of the project evolve.
    • Have enthusiasm for thinking strategically about how we should execute on our plans. (Everyone on our technical staff has at some point had primary responsibility for project management of the main project, just because they happened to have the most context on the core problems at the time.)
    • Have broad knowledge of many topics in computer science, math, and machine learning, and have enthusiasm for quickly picking up new topics.
    • Are dedicated to doing the alignment research that will most increase the expected value of the long-term future.
We welcome applications from people who don’t fulfill all of these requirements. This is a full-time role and we expect staff to work in-person in our office in downtown Berkeley. We will consider international applicants who need visas. Salaries will vary based on experience and be roughly competitive with FAANG tech salaries.

Redwood Research is led by Nate Thomas (CEO), Buck Shlegeris (CTO), and Bill Zito (COO), and a board of Nate Thomas, Holden Karnofsky, and Paul Christiano.
Full-time
Engineering Intern (Full-stack)
Palo Alto, CA
About Moonhub

We're on a mission to enable human potential.

Moonhub is building the world's first AI recruiter. We believe talent and skills are universal, but the systems to identify them aren't. Moonhub solves this critical problem with the world's first conversational AI recruiter trained on billions of people datapoints to help hiring managers and organizations take control of the hiring process, working with an AI to find and retain the best talent for their teams at a fraction of the cost.

Core to our solution are large language models and conversational AI features that power our AI recruiter. Our team consists of ex Stanford Computer Science PhDs and MBAs, highly cited NLP researchers on ground-breaking papers like Bloom / Superglue / etc, papers, ex Twitter Cortex and Meta ML leads and more world-class AI and HR experts.

We are building the future of equitable opportunity. In line with this, we believe in a diverse and inclusive team where everyone is welcome. 

Your Role

This is a fast-paced role with lots of growth potential for a strong product-minded intern with fullstack engineering skills. You will be on the engineering team, working work closely with our search team and customers to build platforms that allow users to seamlessly search and engage the best candidates. The products you build will deliver world-class people platforms for growing businesses.  Your role will include building products, driving new product effrots, as well as integrating state-of-the-art machine learning systems into our product. Unlike most companies where engineering serves other functions, at Moonhub we built our team from the ground up with engineers at the heart of our business. 

Moonhub is a remote-first company and we have quarterly off-sites together along with local meetups. 

What You’ll Do

- Work closely with leadership, engineering, and customers to build new products for users
- Ship full stack features
- Write production ready code with speed, cost, and accuracy in mind
- Contribute to building a culture where everyone is an owner; we ship fast; and build trust as a team. 
- Lead Moonhub’s charge to be one of the world’s best engineering organizations. 

Skills & Qualifications 

- Strong frontend engineering experience
- Experience with front end frameworks such as React, Vue or Angular
- Experience with Javascript or Typescript
- Experience with Python web frameworks such as Flask or Django
- Experience with PostgreSQL databases
- Experience with software architecture and diagrams
- Experience with third-party integrations using RESTful APIs
- Able to work on greenfield projects and experience building full stack systems from the ground up 
- Experience with Docker and GCP is a plus 

Moonhub is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. 

Internship
Internship/New Grad startup opportunities
SF Bay Area, CA
Internship
Manufacturing Intern (Mechanical)
San Francisco
We are searching for a Manufacturing intern to support the design and integration of industrial automation systems.  At OSARO we are creating hardware, software and machine learning products that are transforming the static robotics industry by endowing industrial robots with Level 4 autonomy. This level of autonomy is needed to perform an extensive variety of useful tasks and integrate tightly with our customers’ complex software environments. 

As a Manufacturing intern, you will be participating in many aspects of customer integration and R&D projects at OSARO. You will collaborate with manufacturing and hardware teams to design, build, and implement new hardware -- including sensors, cameras, pneumatics, industrial actuators, and end effectors 
We value candidates who are passionate about what they build, feel a strong sense of ownership over their work and love learning from continuous challenges.  You are someone who cares deeply about your team so you are both direct and believe in doing what you say.

What You'll be Doing

    • Designing, building, and testing experimental hardware in the material handling space.
    • Supporting internal engineering teams by troubleshooting mechanical systems to make sure equipment is operational for both deployment and development.

Experience and Skills You'll Need

    • School related experience in mechanical, pneumatic or electrical systems. Familiar in CAD design (Solidworks). Capable of reading and making drawings of existing designs.
    • Familiarity with motion control components such as motors, encoders, linear actuators, hydraulics, pneumatics, and other sensors is a plus.
    • Experience in team based projects and balancing competing priorities.
    • A strong work ethic and a willingness to learn in a small team-based environment.
    • Legal authorization to work in the U.S. is required.

Bonus if You Have

    • Experience in industrial system integration.
    • Experience with robotic End of Arm Tool design.
    • Experience with pneumatic system design.
$20 - $38 an hour
Actual compensation is based on various factors, including but not limited to work location, job-related skills, and experience.
More About Osaro

OSARO is a San Francisco-based startup company building machine learning software for industrial automation, to power robots in factories and distribution centers. OSARO is extremely optimistic about the power of AI to solve problems now to provide real value to people’s lives.The company has a blue chip roster of investors, advisors, and employees. Our vision is to enable industrial robots to perform diverse tasks in a wide range of environments. We are excited and driven to see the results of our efforts operating in the fast-growing field of warehouse automation. We implement state-of-the-art techniques but constantly strive to build the simplest possible solution. OSARO is technique agnostic and always focused on the goal. We regularly review academic literature for novel strategies while steering clear of the hype. We’re focused on delighting our customers with systems that work like magic. 

Our markets are global. That’s why OSARO employs a diverse team of experts in various fields from more than 15 countries, attracting talent from both innovative companies and the research labs of top-ranked engineering universities. We are naturally curious, love healthy debate, and respect varying points of view. At OSARO, we strive to be champions for equality. We believe we can serve as a model for diversity in the tech industry by emphasizing policies of nondiscrimination and inclusion at every step.

We are an equal opportunity employer who offers
Health, dental, vision, and commuter benefits
Generous, flexible, unlimited vacation time
Excellent paid parental leave policy with the option for additional reduced and unpaid leave
The chance to work with robots in a dod friendly office!

The above full-time position is available immediately.

You should be willing to move to the SF Bay Area
Software Engineer - Computer Vision and DSP
Mountain View, CA
We are seeking a Computer Vision Software Engineer to join Autoroboto, an organization focused on productizing novel technologies for clients in AR/VR devices and the robotics industry. In this role, your job will be to contribute to defining computer vision experience roadmaps and helping ensure technical feasibility for these features running on various hardware platforms. You will perform use case analysis for both Computer Vision and ML use cases on our roadmaps and provide proper budgeting (compute/memory) to help define future generation hardware needs. You will work with SoC, DSP and ML architects to convert features into implementation requirements including producing appropriate documentation. You will work with software and DSP implementation teams to develop ML workloads, and own workload key performance indicators including MIPS/Memory/Latency/Power.

Autoroboto’s mission is to enable clients to create meaningful products. Our team combines the best of AI, Software, and Hardware to create radically helpful experiences for clients and their customers. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the team at Autoroboto is making our clients and their customers' lives better through technology.

Minimum Qualifications

    • Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a similar field, or equivalent practical experience.
    • Worked on large-scale, multi-team dependent projects.
    • Deep familiarity with low level C++ programming and operating system design (memory management, threads, IPC).
    • Familiarity with embedded systems debugging and performance optimization.
    • In addition to Android the role will involve some DSP coding.
    • Experience with ADB and how it is used for debugging.
    • 7 years of experience in semiconductors and/or consumer electronics.

Preferred Qualifications

    • Master's degree or PhD with emphasis in DSP systems/implementation or DSP/ML architectures.
    • 10 years of relevant industry experience.
    • Development experience (concept to product) as a key technical contributor.
    • System level experience analyzing use cases and creating performance budgets for key features.
    • Familiarity with build systems, compilers, linkers. While not necessary this will help with understanding system behavior.
    • Experience in implementing and optimizing DSP workloads.
    • Knowledge of ML tool-chains and system software.
Benefits:
Health Insurance
Vision
Dental
Life
401k match
Tuition reimbursement
Paid maternity/paternity leave
Paid holidays per year
Paid vacation
Full-time
Computer Vision
Vice President of AI Engineering
Oslo
Please be aware that the Talent Acquisition team and Hiring team at Cognite will be on Summer holiday until early August 2023. During this period, we will be unable to review applications or proceed with the selection process.


About Cognite and Cogniters

The Product team is the team responsible for developing Cognite Data Fusion as a robust and scalable platform for solving industrial data problems at Cognite. The industrial data problem is at the heart of transforming asset-intensive industries to be safer, more sustainable and more profitable. Cognite’s Cognite Data Fusion makes the operational data available at scale and adds value to the data through data processing. This enables asset-intensive industries to make data-driven decisions. Our platform is built on many different technologies, each good at solving various challenges.

To build the best possible product, we believe in autonomous teams with developers, designers and product managers working closely together. We use the latest technologies ☁️ and work closely with end users to iterate quickly towards better product experiences 💻. That means that our users have the best data quality possible and ensure better insights for the user through data science and physical process modeling.

The rapid advances of Artificial intelligence (AI), especially around Generative AI, and in particular LLMs like OpenAI GPT family of models, have driven innovations starting to disrupt existing market spaces across industry. Many businesses are betting on AI as the next growth opportunity.

A typical day as a Cogniter will contain the following tasks & responsibilities

    • The VP of Applied AI Engineering will work closely and collaboratively across Product Management, Product Engineering, and Technical Program Management to develop and focus on adding Generative AI and Machine Learning different layers of Cognite Data Fusion Platform that can lock step with the evolution of the best of breed AI technology. This will allow us to continue our leadership in the Industrial Data Cloud domain, and to build best in class capabilities and product experiences that are delightful to use and to operate.
    • To lock-step with the evolution of the best of breed AI technology and human ingenuity, the system will enable the AI model to learn from SMEs, and will have the flexibility to utilize LLMs and State of The Art as the AI technology advances.
    • This leader will build an efficient engineering system and team by attracting world-class AI architecture and engineering talent and by utilizing engineering best practices to deliver solid quality software, and fast.

We believe most of these should match you and your experience

    • You understand the overall architecture of Transformer models, and Generative AI including LLMs
    • You understand the overall software architecture, including cloud software, device software, Kubernetes container orchestration, and modern software design patterns   
    • You are familiar with modern techniques for Language Understanding, Computer Vision, and other Machine Learning and AI technologies  
    • You're excited about working on a local and global team of engineers, researchers, program managers, and product managers.
    • A Masters degree in Computer Science, Electrical Engineering or related fields with focus on software engineering
    • 20+ years of industry experience in Software Engineering, Artificial Intelligence and Machine Learning

    • Don’t meet every single requirement? We are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

A snapshot of our many perks and benefits as a Cogniter

    • Competitive salary and benefits include a pension plan, insurance, parental benefits, and more.
    • Join an organization of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝
    • A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
    • Flat structure with direct access to decision-makers, with minimal amount of bureaucracy
    • Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
    • Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
    • Gain perks like a paid mobile telephone subscription and broadband connection.
    • Get access to extended private health services with Aker Care.
    • Hungry? We’ve got your back. A subsidized lunch at the canteen is delivered by our chefs who specialise in options for both vegetarians and non-vegetarian, salads and hot soups every day
    • Stay fueled between meals with snacks and drinks on the house. 
    • Our own Cognite exclusive coffee bar ☕ with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes.
    • We take your mental- and physical health seriously by having a broad health offering and a free membership to our fully-staffed gym on-site.
    • A pet lover? Get the chance to meet Spot 🐶!


    • Why choose Cognite? 🏆 🚀
      Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainabilityfor clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader! 🥇 Most recently Cognite Data Fusion® Achieved Industry First DNV Compliance for Digital Twins 🥇
Apply today!
If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. Please do not hesitate to contact our Talent Acquisition team with any questions - Amy Ruban at amy.ruban@cognite.com.

We encourage you to follow us on Cognite LinkedIn; we post all our openings there.

Be aware that this position is also published in Austin, USA.



Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world. Our core Industrial DataOps platform, Cognite Data Fusion™, enables industrial data and domain users to collaborate quickly and safely to develop, operationalize, and scale industrial AI solutions and applications to deliver both profitability and sustainability. Visit us at www.cognite.com and follow us on Twitter @CogniteData or LinkedIn: https://www.linkedin.com/company/cognitedata

Equal Opportunity
Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment; everyone we hire will receive the same level of consideration for training, compensation, and promotion. 
We ask for gender as part of our application because we want to ensure equal assessment in the recruitment process. Your answer will help us reach this commitment! However, the question about gender is optional and your choice not to answer will not affect the assessment of your application in any way.
Full-time
Senior
Data Scientist
San Francisco, Seattle, or remote
Join us on the journey to get to net zero

At Carbon Direct, we dedicate our scientific, software, and business expertise to empower organizations around the world to take climate action.

Our Mission
Enable organizations to reduce, remove, and utilize their emissions with carbon science
We are a purpose-driven carbon management firm dedicated to helping organizations around the world reach their climate goals. We make carbon science accessible and actionable with our end-to-end platform.

Global citizens with global impact
Whether a scientist, developer, or carbon markets expert, we are united by our mission to take climate action now. We are experts in our fields and we act with confidence. Located across 4 countries and 10+ states in the U.S., we offer both remote-friendly work options and dynamic, in-person experiences with offices located in Seattle, WA and Oakland, CA.

Diverse backgrounds bring diverse perspectives
We recognize that teams with diverse backgrounds and different experiences are powerful. Bringing together a variety of perspectives only enhances how we can effectively address the climate crisis. Together, we are creating an environment where everyone is celebrated and anyone can succeed.


The Role

We are looking for a dynamic, entrepreneurial mid-career data scientist who understands the value of data in tackling the climate problem. The successful candidate will be a team player who can work creatively across carbon science, data science, and software engineering teams. The candidate should be an experienced modeler in the context of real-world environmental, ecological, or other climate/carbon-related topics. We are especially interested in lifelong learners, willing to learn new modeling techniques and work directly with new data types, including tabular data, GIS/remote sensing imagery, and electric grid system data. Strong communication skills and ability to articulate the insights derived from quantitative analysis are critical.

Responsibilities

    • Identify and explore key carbon-relevant data sets.
    • Preprocess (extract, clean and integrate) carbon-relevant data from multiple sources.
    • Build, calibrate, test and maintain analytic models including predictive machine-learning models for a range of climate-relevant applications (classification and regression; supervised and unsupervised).
    • Present results using data visualizations and clear verbal explanations.
    • Collaborate with the science team to enhance and extend existing quantitative modeling efforts. 
    • Collaborate with software engineering and product teams to deploy trained models.

Qualifications

    • A PhD or M.S. in a carbon-relevant field (data science, forestry, soil science, engineering, biology, chemistry, physics, math, or other STEM fields) or a bachelor’s degree with extensive demonstrated relevant work experience.
    • Multiple years of experience in applied data analysis and machine learning.
    • Proficiency with data mining and preprocessing.
    • Fluency with GCP, Python, SQL and R. Familiarity with data science and machine learning libraries (e.g., pandas, TensorFlow, PyTorch, scikit-learn) a strong plus.
    • Familiarity with data visualization tools and libraries (e.g., Tableau, PowerBI, matplotlib). 
    • Strong business-relevant quantitative analysis skills.
    • Willingness to learn novel analysis and modeling methods and work with a broad range of data types (tabular, natural language, remote sensing/imagery, power systems, etc).
    • Excellent ability to communicate insights from quantitative modeling.
    • High aptitude for collaborative, team-based data science work.
    • Orientation toward creative and efficient problem solving using data.
$135,000 - $165,000 a year
Benefits

While we love our work, our lives aren’t defined by it. At Carbon Direct, we offer a robust benefits package that considers the whole person, their partners, and their families – and we’re always looking to improve.

Our U.S. benefits* include:
- Time off as needed: Flexible vacation policy and ten company-wide holidays, plus annual winter break between Christmas and New Year's
- 16 weeks of fully paid parental and family leave with no tenure requirement
- Remote-friendly work culture with annual company-wide retreats
- Reimbursement for your work-from-home setup and monthly work-from-home stipend

*Please note that the benefits described apply to U.S.-based employees only. For our international employees, our benefits package varies by each country and its statutory requirements.

Equal Opportunity Employer

Carbon Direct is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria. We adhere rigorously to our equal employment opportunity policies in connection with all employment decisions, including hiring, compensation and promotion.
Full-time
Mid Level
Data Scientist
San Francisco, CA
Perplexity AI is looking for an experienced data scientist to join our small team. We believe that a deep understanding of our data, the ability to experiment, and a process built around these insights will make us successful. We want someone who can own analysis and experimentation on a rapidly growing data set, determine key metrics to track our strategic progress, build or choose tooling that enables this, and generally establish a data driven development culture.

Responsibilities:

    • Establish reliable and coherent metrics for user growth and experience
    • Work closely with engineering to set up reliable experimentation frameworks
    • Contribute to our development process helping us balance velocity and rigour
    • Continuously reevaluate metrics and data, looking for insights and opportunities
    • Setup data pipelines for collection and analysis

Requirements:

    • Track record of working with data in a dynamic, growing environment. Either in a 0->1 role or where you established a new area in an existing company
    • Strong programming skills, with flexibility in picking the right tool for each task
    • Enthusiasm and independence, with a willingness to take ownership of systems
    • Creativity and an eye for detail in defining and evaluating metrics
    • Knowing when to be rigorous and when to be scrappy
    • 4+ years industry experience
$160,000 - $220,000 a year

Compensation and Benefits

Perplexity AI’s compensation package consists of: salary, equity, and benefits. 
- The expected salary range for this position is $160K-$220K
- Equity - On top of this position's salary, equity will be a component of the total compensation. 
- Benefits - Comprehensive health, dental, and vision insurance for you and your dependents.
- 401(k) 
- Generous home-office stipend
About Perplexity AI


Perplexity AI is on a mission to revolutionize the way people search and interact with the internet. We are creating a powerful conversational interface that harnesses the power of large language models to deliver more accurate and intuitive search results. Join us and help shape the future of search and AI technology.
Full-time
Mid Level
Natural Language Processing
Lead People Data Scientist
San Francisco, United States
Working at Atlassian

Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or from an office (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Atlassian is hiring a data scientist to join our newly formed People Insights team, a cross-disciplinary group of analysts, data scientists, behavioral scientists, researchers and business partners, who use data and research to inform strategic and operational issues facing our leaders, teams, and people. This role will be responsible for driving our approach to data-informed insights and analysis, leveraging research and creating repeatability of outputs to inform our leaders and teams. In this role, you’ll get to:

What you'll do

    • Collaborate with behavioral scientists, business partners and others to understand the people insights needed to drive decision making at Atlassian, and design products and insights in a way that motivates and inspires action
    • Conduct rigorous analyses to uncover data-driven people insights, and then test and iterate to understand feasibility and interest before scaling
    • Help scale compelling insights from people data and effectively convey findings to stakeholders with a data storytelling mindset.
    • Learn from and collaborate with other Data Scientists, and mentor others on the team

Your background

    • 6+ years of experience working with people data (e.g., survey data, HR data, psychological study data, human behavior data) in an applied setting
    • Expert knowledge of advanced statistical methods (e.g., could include: regression, cluster analysis, HLM, social network analysis, text analysis, longitudinal methods, etc.)
    • Experience working with people data (e.g., survey data, HR data, psychological study data, human behavior data) in an applied setting
    • Proven ability to translate data into compelling and easy-to-understand insights, stories, and narratives that resonate with a non-technical audience
    • Knowledge of experimental methods
    • Advanced Python or R skills
    • Proficiency in reading and writing SQL queries
    • Knowledge of Git is a plus
    • Strong cross-functional collaboration skills
    • Strong written and verbal communication skills
Compensation
At Atlassian, we tie our base pay ranges to role and level. In the United States, that means your base pay ranges will fall into one of three geographic pay zones depending on your location. Our current base pay ranges for new hires in each zone are:
Zone A: $186,300 - $285,800
Zone B: $167,700 - $257,200
Zone C: $154,600 - $237,200
Within each range, base pay is ultimately determined based on your skills, expertise, and experience. This role may also be eligible for benefits, bonuses, commissions, and/or equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.
Full-time
Senior
Data Scientist II (Health)
Boston, MA
WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level through a deeper understanding of their bodies and daily lives.

As a Data Scientist II on the Health Data Science team, you’ll help develop technology at the core of the business. In collaboration with clinicians, research analysts, and product managers, members of the Health Data Science team build features that help members improve their health and better understand their body’s signals. You’ll work with data from a variety of sources including processed time series data generated by sensors on the WHOOP Strap, data collected from “gold-standard” devices, and data entered manually by WHOOP members via the mobile application. Using these data sources, as well as drawing upon clinical theory and evidence, you will design, train, and deploy machine learning algorithms that provide insights to members on topics such as physical fitness, reproductive health, cardiovascular health, and more. We’re looking for someone who has experience developing ML models with large datasets in Python and who is excited about the use of wearables in the health and wellness space.

RESPONSIBILITIES:

    • Develop statistical and machine learning models to solve complex problems with data of varying structures
    • Conduct research on specific health and physiological problems and integrate clinical research into the development of algorithms
    • Productionize models and algorithms with assistance from data and software engineers as appropriate and monitor model performance and the production service in the field
    • Work with MLOps engineers to stand up production backend APIs in Python that pass data through inference pipelines with trained machine learning models
    • Collaborate with the product team to ensure we’re delivering maximal member-value
    • Collaborate with our scientific and medical advisors as needed to ensure we are interpreting the data in a scientifically accurate and medically responsible way
    • Reports to the Health Data Science Technical Lead

QUALIFICATIONS:

    • Bachelor's Degree in Statistics, Data Science, Applied Mathematics, Computer Science or a related field. Master’s preferred
    • 2+ years of full-time professional experience in a related area
    • 2+ years experience applying advanced mathematical and statistical techniques
    • Strong python programming skills and substantial experience with scientific python packages
    • A strong interest in improving people’s health and well-being
    • Experience working with processed physiological time series data such as that from PPG, ECG, or EEG sensors is a plus
    • Experience deploying services and maintaining live code through logging and monitoring within a production environment is a plus
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

Full-time
Mid Level
Data Scientist
Cupertino, CA
Gridmatic Inc. is a high-growth ClimateTech startup based in the San Francisco Bay Area that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets. We are the rare startup that has 6 years of profitable growth without raising venture capital. Gridmatic is a great place to work with a culture that values teamwork, continuous learning, diversity, and inclusion. We are environmentally and data-driven, with a growth-oriented mindset and we value integrity as much as excellence.

Gridmatic is looking for a data scientist to join the engineering team, and drive the collection, preprocessing, and analysis of data in support of our development efforts. This role will also support our go-to-market efforts by conducting customer simulations, analyzing pricing options, doing risk assessments, and running reports. 
This newly-created role is ideal for the candidate who has strong analytical and programming skills and enjoys wearing multiple hats. Knowledge of the energy industry and experience at high-growth startups are pluses.

What you might work on

    • Work as the lead data strategist, collaborating with engineering to integrate datasets to support Gridmatic growth.
    • Gather and transform rules and data for various domestic and international energy markets.
    • Gather and transform data, forecasts and other features in order in support of our price models.
    • Evaluate and backtest various risk policies across Gridmatic's lines of business.
    • Set up simulations and pricing analysis for new customers.
    • Present information using data visualization techniques.
    • Analyze disclosure data to develop industry reports and white papers.

You might be a good fit if you:

    • have 3 - 5 years’ experience as a Data Scientist or Data Analyst.
    • understand machine-learning and have experience working with ML engineers.
    • have experience with querying, data quality, analytics, and visualization.
    • have experience in tool development and systems automation.
    • have strong math skills (e.g. statistics, algebra).
    • have problem-solving aptitude.
    • are an excellent communicator and presentator.
    • have a BSc/BA in Computer Science, Math, Statistics, Engineering, Economics, or relevant field; graduate degree in Data Science or other quantitative field is preferred.
    • are comfortable working in a research-oriented group with several ongoing concurrent projects as well as business and go-to-market efforts. 
    • have knowledge of the energy industry, or are eager to learn about it.
$137,000 - $210,000 a year
FAQ

What’s your policy on remote work?
We value the ability to work and collaborate in-person in our early stage as a startup, so Gridmatic has a hybrid policy of "50% in-office”. Most of the company works in our Cupertino office 2 or 3 days a week.

How does the interview process work?
We start with 1-2 initial conversations about the role, your past experience, and Gridmatic as a company. We then have a skills assessment which involves a take-home project; if that goes well, you’d come onsite to Cupertino to talk to the team.

Join our team and make a difference! Click below or email us at careers@gridmatic.com.
Full-time
Mid Level
Senior Data Scientist - Product Analytics
Sydney, Australia
Working at Atlassian

Atlassians have flexibility in where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Your future team
Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will support a market-leading product with nuanced analysis, relevant insights, and recommendations.
We're growing quickly, so you'll need to help scale the processes for sustainable growth across the Economy organization. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong, this is a great fit!

What you'll do

    • Use data to understand complex customer experiences on Atlassian's website (e.g. www.atlassian.com, support.atlassian.com and confluence.atlassian.com). Analyze how customers navigate our website and identify opportunities for improvement.
    • Define success metrics and report on KPI for Atlassian's websites. Research and explain trends and their impact on the success of the overall business.
    • Accelerate web experimentation through best practices, tooling and clear recommendations.
    • Build instrumentation and web tracking in collaboration with partners and engineers to establish a solid data foundation for this space.
    • Collaborate with engineers, marketers & senior leadership to bring data to the forefront of our decisions.

Your background

    • 5+ years of experience in analytics, data science, or other quantitative field
    • Advanced proficiency in SQL
    • Experience defining and auditing web instrumentation requirements and web analytics
    • Experience designing and analyzing various types of web experimentation (e.g. A/B testing quasi-experimentation, rollout etc.)
    • Experience collaborating with senior management and translating insights into decisions and actions
    • An knack for crafting raw data and analysis into well-written content
    • while maintaining the highest standard of work
    • Proficiency with data visualization best practices and tools such as Tableau
    • Familiarity partnering with multiple business functions. For example: Product Management, Engineering, Design, Finance, Customer Research and Data Engineering teams
    • An agile development mentality, appreciating the benefit of constant iteration and improvement


Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.
Full-time
Senior
Associate Data Scientist
Mississauga, Ontario
For more than 20 years, PointClickCare has been the backbone of senior care. We’ve amassed the richest senior care dataset making our market density untouchable and our connections to the healthcare ecosystem exponentially more powerful than those of any other platform. 

With Collective Medical & Audacious Inquiry, we’ve become the most expansive, full-continuum care collaboration network, offering care teams immediate, point-of-care access to deep, real-time insights at every stage of a patient’s journey.


Position Location:
Hybrid from Mississauga or Toronto Offices

Position Summary:

Reporting to the Manager, Data Science & Analytics, the Associate Data Scientist will be responsible for understanding, interpreting, manipulating, grouping and correlating our data with the goal of turning our vast amounts of clinical data into meaningful insights for PointClickCare internally and for existing and new customer bases externally.

Key Responsibilities:

    • Analyzing and understanding PointClickCare's data thoroughly
    • Developing a full understanding of our customers' challenges and need for data, in addition to our own internal needs
    • Making recommendations in defining our technical approach and participating in the implementation of a full business analytics platform
    • Gathering, examining and analyzing large sets of data
    • Developing segmentation, outcome modeling, experimental design and decision analysis
    • Developing predictive analytics and visualization tools to continually deliver new insights and analytics products to our customers
    • Analyzing and evaluating model performance definitions, sampling approaches and segmentation alternatives
    • Translating business needs into data models and predictive analytics
    • Educating and mentoring development on data modeling conventions and best practices, leveraging database, big data and predictive analytics experience
    • Building learning algorithms to analyze data
    • Developing predictive analytics and visualization tools to continually deliver new insights and analytics products to our customers
    • Identifying new opportunities for additional products and services

Experience Required:

    • Master’s Mathematics, Engineering, Statistics, Economics and 1-3 years of related work experience or equivalent combination of education and experience
    • Coursework or practical experience with data mining and building algorithms
    • 1-3 years of experience in the evaluation of data/data sets work products involving data analysis and research
    • Proficient computer skills including use of Microsoft Office products or equivalent software and the ability to learn corporate software programs
    • Basic analytical, data mining, data modeling and data management skills, and ability to utilize data to drive strategic business directions
    • Demonstrate ability to apply quantitative analysis techniques to business situations including forecasting, descriptive statistics, statistical inference, and multivariate modeling techniques
    • Develop understanding of business processes, goals and strategy in order to provide analysis and interpretation to management
    • Practical ability to visualize data, communicates effectively about data, and utilizes data effectively
    • Proficient with a range of business intelligence and analysis tools SAS, SQL Server Reporting Services, SPSS, R, MicroStrategy, Power BI, or Tableau
    • Good knowledge of SQL
    • Statistical programming experience (SAS, R, Python) preferred
    • Strong problem solving and logical skills
    • Ability to think creatively and to work well both as part of a team and as an individual contributor
    • Demonstrate ability to work with minimal direction, with the ability to coordinate complex activities
    • Meticulous attention to detail
    • Excellent written and verbal communication skills and the ability to interact with a variety of customers and stakeholders
#LI-DNI

It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations.

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Full-time
Junior
Data Scientist
London, United Kingdom
Who we are
BB2 Digital and Technology Services Ltd (t/a Nomo Fintech) is a cloud-based business-to-business Fintech company which owns the digital platform that powers the digital retail banking services of Bank of London and The Middle East plc (“BLME”), branded Nomo (available on iOS and Android), and provides various other services to BLME.

Nomo Fintech is currently in scale-up mode to support international digital banking across the GCC, and it’s an incredibly exciting time to join the business with great ambition and an effective combination of talent, culture, and world class technology.

Nomo Fintech leverages the support services of an intragroup entity based in Dubai which houses various functions to support Nomo Fintech’s business services.

Role Description

The role of the Data Scientist is focused on interpreting the generated data.  The Data Scientist is a person who helps to make sense of insights that were received from data engineers or business analytics to make advanced calculations to derive conclusions. As a Data Scientist, you will receive data that has passed a first round of cleaning and manipulation, which they can feed to sophisticated analytics programs and machine learning and statistical methods to prepare data for use in predictive and prescriptive modelling. The Data Scientist will utilize the source of data and analyses to create predictive models that can be applied to business.

Responsibilities

    • The data scientist will have to do the following key functions (Data exploration and visualisation, experimentation and prediction):
    • Capture the sources of data and analyses them to build the best predictive models.
    • Market back testing or Live simulations using the Predictive models.
    • Design or utilize technologies to convert unstructured data into structure data.
    • Reviewing Payments and Purchasing Habits across all customer segments.
    • Evaluate a customer’s payment history and purchase history to determine Lifetime Customer Value.
    • Determine and clarify the lifetime value of every customer for example using data science within an     organization to power crunch massive amounts of data to build asset management models to earn higher risk adjusted returns for their clients for example
    • Utilizing data science to build Fraud Detection and Prevention models based on behaviour.
    • Present and explain data to others. They must be able to communicate data to people of different skill sets, explain the importance of patterns in the data, and suggest solutions.
    • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
    • Mine and analyze data from company databases to drive optimization and improvement of our products, marketing techniques and business strategies.
    • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
    • Develop custom data models and algorithms to apply to data sets.
    • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
    • Develop company A/B testing framework and test model quality.
    • Create visualisations to communicate insights to management and stakeholders across the company.
    • Develop processes and tools to monitor and analyze model performance and data accuracy

Skills & Experience

    • Key background: Statistics, Econometrics, Computer Science (Will have a STEM degree discipline)
    • Proficiency in statistical software packages and functional programming languages such as : SQL, Tableau, SAS, Stata, SPSS, R, Python, RapidMiner, Knime, Matlab, Wolfram Mathematica and C++, or Java.
    • Will have at least 2-3 years of financial services based, data analytics experience. Preferably experience within the fraud and financial crime domain, or card payments
    • Will have experience working with multiple and large unstructured datasets
    • Experience in an analytical role involving machine learning techniques, data extraction, analysis, and communication.
    • Experience in designing and implementing machine learning algorithms tailored to specific business needs and tested on large dataset.
    • Experience in data mining and using databases in a business environment with large-scale, complex datasets.
    • Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences.

Benefits

    • Annual Discretionary Individual Performance Bonus up to 30%
    • Generous Pension Scheme (up to 20% in total)
    • 30 days Annual Leave plus Bank Holidays & an option to buy/sell 5 days
    • Private Healthcare and wellbeing incentives, deals and discounts with Vitality
    • Dental and Mental Health Allowance
    • A hybrid working environment - work from home allowance
    • Choice of Tech
    • Group Income Protection – Up to 75% of salary in event of long-term sickness.
    • Personal Development and progression plans including £1,000 per employee per annum
    • Personal Gym Membership Budget
    • Annual Health Check Up
    • Season ticket loan
    • Cycle to work scheme
    • Employee Assistance Programme – includes mortgage and pension advice
    • Regular social/company events (in person and remotely)
Full-time
Mid Level
Director of Data Science
Boston, MA
At WHOOP, we're on a mission to unlock human performance. WHOOP empowers its members to perform at a higher level by providing a deep understanding of the interactions between their unique physiology and chosen behaviors. 

We’re looking for a talented leader for our data science team. This team owns the development of features that enable our members to understand their sleep, recovery, and exercise behaviors. We’re looking for someone with a track record leading a cross-functional technical team, who is able to identify new opportunities to leverage our large and growing physiological dataset.

RESPONSIBILITIES:

    • Lead a team of data scientists, providing guidance, mentorship, and professional development 
    • Collaborate with your technical leaders and product leadership to strategize, roadmap, prioritize, and execute on team deliverables 
    • Coordinate complex data science initiatives across the company 
    • Communicate results to technical and non-technical stakeholders
    • Develop, manage and scale the teams and their processes; evangelize these processes and best practices across the organization  
    • Identify technology gaps and work with the Director of ML Platform to scope solutions that increase team efficiency 
    • Identify new research areas and emerging technologies with potential applications to WHOOP's data science initiatives
    • Collaborate with engineering teams to integrate data science models into production systems.
    • Define and monitor key performance indicators (KPIs) to measure the effectiveness of data science initiatives and track progress towards goals
    • Understand how our work impacts the business at large and communicate this back to the team
    • Reports to the SVP of Data Science and Research 

QUALIFICATIONS:

    • Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field
    • 8+ years of full-time professional experience in a related area
    • 2+ years of success leading a team of diversely skilled data scientists with a demonstrated ability to lead and inspire a team of data scientists
    • Experience managing managers and growing leaders
    • High bar for quality and commitment to delivering a world-class experience 
    • Consistently positive attitude, highly self-motivated, and able to inspire others to do their best work across the company
    • Ability to zoom out and do thoughtful strategic work yet also roll up your sleeves and zoom into important details 
    • Expertise in scientific Python, proficiency in data manipulation, analysis, and visualization libraries; deep knowledge of statistical modeling techniques and machine learning algorithms
    • Excellent verbal and written communication skills
    • Excitement to work in a high energy, high growth startup environment
    • Understanding of exercise physiology or athletic experience is preferred
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

Full-time
Senior
Data Scientist
Remote
At Alkymi, we’re creating products to give everyday business users the power to control the unstructured document data that fuels their business. We believe in giving the same professionals who manually handle document and email data today powerful tools to supercharge their workflows, while allowing them to seamlessly apply their human intelligence where it’s needed most. By doing this, we’re letting our users create a Data Action Layer to power products, deliver outcomes, and generate insights.

Founded in 2017 in New York City, Alkymi works with some of the world’s leading businesses and financial services firms to automate their highest-impact workflows by delivering an unparalleled product experience. We’re laser focused on understanding our customers’ workflows from top to bottom, and building easy-to-use, powerful, tools to meet their objectives. We combine cutting edge data science and machine learning with best-in-class software engineering to delight our users at some of the world’s most demanding and sophisticated businesses.

As we continue to scale, we're seeking a Data Scientist to join our core team.

Required Skills:

    • Strong knowledge of Python and general software development skills (source code management, debugging, testing, deployment, etc.).
    • Strong understanding of text pre-processing and normalization techniques, such as tokenization, and POS tagging.
    • Ability to design NLP pipelines to meet customer requirements
    • Familiarity with different approaches for training entity tagging models (e.g. CRF, RNN, CNN, Transformer).
    • Experience with asynchronous programming is a plus.
    • Familiarity with deep learning frameworks such as Tensorflow and Pytorch a plus.
    • Familiarity with computer vision deep learning algorithms a plus (CNN, RCNN)
    • BS, MS and or PhD in Computer Science, Physics, Mathematics, etc
Alkymi is creating the data action layer by turning unstructured data into actions. Its product-first approach makes it easy for non-technical users to automate operational workflows for the first time. Leading organizations deploy Alkymi to accelerate decision-making, improve customer satisfaction and empower employees to focus on high-value, rewarding work. 

Alkymi was founded in 2017 in New York City by a founding team from Bloomberg, Two Sigma, and x.ai with backing from Intel Capital, Canaan, Work-Bench, SimCorp, and industry insiders.


Salary Range: $100,000 - $145,000 annually + Equity + Fully Paid Company benefits + 401k + Unlimited PTO

The above compensation referenced represents the expected salary for this career opportunity and is based on Alkymi's good faith belief at the time of posting. Ultimately, in determining your compensation, we'll consider multiple factors including your geographic location, professional experience, market conditions and education/training/skill level. 

Full-time
Natural Language Processing
Data Scientist
Poznan, Poland
About PayU 

As a leading online payment service provider, we deploy more than 400 payment methods and PCI-certified platforms to process approximately 6 million payments every single day. 


We are looking for a highly skilled Data Scientist to join our team at PayU. As a Data Scientist, you will develop complex payment models, analyze financial data, uncover insights about merchants, shoppers and issuers.

You will identify opportunities by leveraging statistical, algorithmic, mining, and visualization methods.

At PayU you will have the opportunity to create tools and solutions that will save time and resources, increase revenue and build stronger relationships of the participants.

The ideal candidate will have exceptional analytical and problem-solving skills, as well as a passion for creating value beyond the technical responsibilities of a Data Scientist. 

Interested in using data-driven insights to solve complex business problems, and able to think creatively and collaboratively, join us!

Key Responsibilities

    • Develop machine learning models that drive actionable insights to support business decisions.
    • Build and deploy machine learning applications that enable automation and optimization across various business domains like recomendations, anomaly detection, classification.
    • Collaborate with cross-functional teams to identify opportunities for data-driven decision making and drive the adoption of machine learning and artificial intelligence across the organization.
    • Working with large and complex datasets from various internal and external sources.
    • Staying up-to-date with new data acquisition techniques and incorporating new data sources into analyses as needed.
    • Stay up-to-date with the latest trends and techniques in machine learning and AI.

Requirements

    • Bachelor's degree in engineering, mathematics, statistics, computer science or a related field.
    • 5+ years of experience in machine learning and artificial intelligence
    • Strong programming skills in Python,
    • Proficient in SQL and experience with data warehousing and data architecture design.
    • Experience with cloud technologies such as AWS, Azure, or GCP.
    • Strong understanding of statistical modeling techniques and data analysis methods, including supervised and unsupervised learning, deep learning, and NLP.
    • Excellent communication skills and ability to collaborate effectively with cross-functional teams, including data engineers, product managers, and business stakeholders.
    • Proven ability to work independently and manage multiple projects simultaneously.
About us:  
At PayU, we are a global fintech investor and our vision is to build a world without financial borders where everyone can prosper. We give people in high-growth markets the financial services and products they need to thrive. Our expertise in 18 high-growth markets enables us to extend the reach of financial services. This drives everything we do, from investing in technology entrepreneurs, to offering credit to underserved individuals, to helping merchants buy, sell and operate online. Being part of Prosus, one of the largest technology investors in the world, gives us the presence and expertise to make a real impact. Find out more www.payu.com 

Our Commitment To Building A Diverse And Inclusive Workforce 
As a global and multi-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive and safe environment, for all of our people, communities and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility and unbiased attention to each and every PayUneer so they can succeed, irrespective of gender, color or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities or the LGBTQ communities. 
Full-time
Mid Level
Senior Data Scientist
Bengaluru, India
About PayU 

As a leading online payment service provider, we deploy more than 400 payment methods and PCI-certified platforms to process approximately 6 million payments every single day. 


Job Description:We are looking for a senior data scientist in the PayU Finance intelligence team who will be primarily responsible for modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, mining, and visualization techniques. Your primary focus will be to propose innovative ways utilizing various data sources and analytics to look at the problems by applying data mining techniques, doing statistical analysis, validating your findings using an experimental and iterative approach, and building high-quality prediction systems integrated with our services. You will need strong business understanding, analytical and problem-solving skills, and programming knowledge.Responsibilities:Design experiments, test hypotheses, and build models utilizing the traditional datasets and graph data.Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems.Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as geo-location or social mediaUtilize patterns and variations in the volume, speed and other characteristics of data for predictive analysis.Define the preprocessing or feature engineering to be done on a given dataset, data augmentation pipelines, trainingmodels and tuning their hyperparameters, analyzing the errors of the model and designing strategies to overcome themSelecting features, building and optimizing classifiers using machine learning techniquesExtending company’s data with third party sources of information when neededCreating automated anomaly detection systems and constant tracking of its performanceSkills and Qualifications:Bachelors in mathematics, statistics or computer science or a related field; Masters or PHD degree preferred.3+ years of relevant quantitative and qualitative research and analytics experience.Extensive knowledge of statistical techniques.Ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.Proficient in deep learning (CNN, RNN, LSTM, attention models, etc.), machine learning (SVM, GLM, boosting, random forest), graph models and reinforcement learning Experience with open source tools for deep learning and machine learning technology such as Keras, tensorflow, pytorch, scikit-learn, pandas, etc.Strong programming skills (Hadoop MapReduce or other big data frameworks, Java, Python), statistical modeling (R, Python, SAS), query languages such as SQL, Hive, PigFamiliarity with basic principles of distributed computing and distributed databases.Demonstrable ability to quickly understand new concepts - all the way down to the theorems - and to come out with original solutions to mathematical issues.Tracks and manages changes in a model and related development scripts (Version Control). Maintain changes and modifications over time.Should have experience in all aspects of data science life cycle - Manage, Develop, Deploy, Monitor, track modelsUnderstanding of Cloud Platforms (AWS) and ability to use them for developing, training and testing models
About us:  
At PayU, we are a global fintech investor and our vision is to build a world without financial borders where everyone can prosper. We give people in high-growth markets the financial services and products they need to thrive. Our expertise in 18 high-growth markets enables us to extend the reach of financial services. This drives everything we do, from investing in technology entrepreneurs, to offering credit to underserved individuals, to helping merchants buy, sell and operate online. Being part of Prosus, one of the largest technology investors in the world, gives us the presence and expertise to make a real impact. Find out more www.payu.com 

Our Commitment To Building A Diverse And Inclusive Workforce 
As a global and multi-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive and safe environment, for all of our people, communities and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility and unbiased attention to each and every PayUneer so they can succeed, irrespective of gender, color or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities or the LGBTQ communities. 
Full-time
Senior
Data Scientist
Bangalore, India
About PayU 

As a leading online payment service provider, we deploy more than 400 payment methods and PCI-certified platforms to process approximately 6 million payments every single day. 


Responsibilities
·         Design experiments, test hypotheses, and build models utilizing the traditional datasets and graph data.
·         Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems.
·         Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as geo-location or social media.
·         Utilize patterns and variations in the volume, speed and other characteristics of data for predictive analysis.
·         Extending company’s data with third party sources of information when needed
·         Creating automated anomaly detection systems and constant tracking of its performance
·         Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented

Skills and Qualifications
·         Bachelors in engineering, mathematics, statistics , economics or a related field.
·         2+ years of work experience as a Data scientist preferably in a fintech environment
·         Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
·         Proficient in machine learning (SVM, GLM, boosting, random forest) and deep neural networks
·         Strong programming skills (Spark or other big data frameworks, R, Python), statistical modeling (R, Python, SAS), query languages such as SQL
·         Working on Big Data to develop analytical solutions
·         Enable machine learning algorithms on graph databases
·         Working on cutting-edge techniques e.g. machine learning and deep learning models 
·         Guide and enable junior team members
·         Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented
Add-on Skills :
Experience in working with big data
Solid coding practices
Passion for building new tools/algorithms
Experience in developing Machine Learning models
Behavioral Skills:
Team Player
Perseverance
Knowledge sharing skills
Energetic & Positive attitude
Go getter instinct
So what do we offer?
Opportunity to work on exceptional projects using cutting edge technology in big data environment
A Competitive salary, including benefits
Modern offices with individual working spaces
Awesome teams that love finding ways of making things better, faster, stronger
Interesting growth prospects  
About us:  
At PayU, we are a global fintech investor and our vision is to build a world without financial borders where everyone can prosper. We give people in high-growth markets the financial services and products they need to thrive. Our expertise in 18 high-growth markets enables us to extend the reach of financial services. This drives everything we do, from investing in technology entrepreneurs, to offering credit to underserved individuals, to helping merchants buy, sell and operate online. Being part of Prosus, one of the largest technology investors in the world, gives us the presence and expertise to make a real impact. Find out more www.payu.com 

Our Commitment To Building A Diverse And Inclusive Workforce 
As a global and multi-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive and safe environment, for all of our people, communities and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility and unbiased attention to each and every PayUneer so they can succeed, irrespective of gender, color or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities or the LGBTQ communities. 
Full-time
Mid Level
Senior Data Scientist
San Francisco
We are looking for a Senior Data Scientist to join our team and lead the development of data-driven solutions to complex business problems in payments. The ideal candidate will have a strong background in statistical modeling, machine learning, and data analysis, as well as deep experience working with business stakeholders. Prior experience in payments and a deep sense of business is highly preferred.  

Responsibilities:
- Develop and implement advanced statistical and machine learning models to solve complex business problems
- Design experiments, analyze data, and communicate insights to cross-functional teams
- Collaborate with stakeholders to define business objectives, identify data sources, and develop metrics to measure success
- Translate product requirements into clear modeling objectives, business outcomes, and deliverables
- Lead and mentor junior data scientists and provide technical guidance on projects

Requirements:
- Master's or PhD degree in statistics, computer science, mathematics, or a related field
- MBA or prior business experience is a strong plus
- 3+ years of experience in data analysis, statistical modeling, and machine learning applied to payments or closely related industry
- Deep understanding of business and ability to prioritize projects to drive favorable outcomes
- Expertise in python language for data analysis and machine learning
- Proven track record of problem solving
- Strong understanding of data engineering concepts and experience working with databases, data warehouses, and big data technologies
- Experience with machine learning platforms such as SageMaker
- Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
- Experience working in cross-functional teams and leading projects from ideation to delivery
- Demonstrated ability to work in a fast-paced environment and autonomously manage multiple projects simultaneously
- Prior startup experience is strongly desired

If you are a data-driven problem solver who is passionate about using advanced analytics to drive business impact, we would love to hear from you.

Salary Range: Base $120k-$150k + bonus + equity based on experience and location.

About Link Money
Link Money offers the first pay-by-bank solution focused exclusively on the United States. Powered by open banking ,Link Money’s Pay by Bank Solution provides merchants with an alternate, low-cost payment solution and enables customers to pay with their bank accounts.
Our flagship product makes pay-by-bank as easy as using a credit or debit card while saving merchants up to 70% in payment processing fees. Plus, our proprietary machine-learning process allows us to guarantee funds and cut down on fraud. Using Link Money’s Pay by Bank Solution is a win-win for merchants and customers.
Full-time
Senior
Data Scientist H/F
Marseille
🫀Who are we ?

The creation of Volta Medical follows the discovery of a new complex medical procedure to treat atrial fibrillation (the most common cardiac arrhythmia in the world) by the company’s founders, world experts in interventional rhythmology and intracardiac signal analysis. 

Volta Medical is an innovative start-up based in Marseille, whose goal is to provide a range of artificial intelligence-based products to guide the cardiologist during ablation-type procedures.

We started this adventure 7 years ago and our team now has nearly 70 employees in France, Germany and the United States ! We completed a $27 million Series A round in November 2020 and a $36 million Series B round in January 2023.

🫀Our values

    • Be a pioneer: Be brave. Don’t be scared of researching, exploring, trying and sometimes failing.
    • Improve patients’ lives: Create products to provide electrophysiologists with the best user-experience possible, to help them improve the lives of patients.
    • Strive for excellence: Push yourselves to deliver the highest quality in everything you do. Learn from your mistakes and aim for the best.
    • Collaborate as a team: Welcome to a multidisciplinary and a diversified team ! Try to understand people from different cultures and environments. Confront your ideas and have fun !

🫀Mission

🫀 Profile

    • We are seeking a highly motivated Data Scientist with the following qualifications:

    • Graduate from a Master's degree or PhD in data science, mathematics, statistics, or bioengineering.
    • Minimum of 1 year of experience in Machine Learning R&D projects, demonstrating a solid technical background.
    • Strong problem-solving aptitude and the ability to conduct technological analyses and research.
    • Excellent communication, organizational, and time-management skills.
    • Attention to detail and a keen interest in the recent developments of AI/ML research.
    • Demonstrated ability to work effectively in a diverse and collaborative team environment.
    • Fluency in written and spoken English.

🫀 Technical experience

    • To succeed in this role, you should possess the following technical experience:

    • Strong academic background in machine learning, including a solid understanding of mathematical and algorithmic principles.
    • Proficiency in Python programming language, with experience in NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, SciPy, XGBoost, etc.
    • In-depth knowledge of version control tools such as Git, as well as CI/CD and MLOps tools.
    • Experience working with databases, such as MySQL or PostgreSQL.
    • Familiarity with Linux operating system.

🫀 Preferred Qualifications

    • Although not required, experience in the following areas would be highly appreciated:

    • Previous involvement in the publication of scientific articles related to AI.
    • Collaborations with medical professionals or clinicians.
    • Familiarity with electrophysiology within the medical field.Proficiency in utilizing advanced visualization and processing techniques for 3D geometric data. 
    • Familiarity with regulatory requirements for AI development in the medical device industry.
    • Experience in developing GDPR compliant machine learning solutions, with a strong understanding of data privacy principles and regulations.

🫀 What we can offer you at Volta Medical

    • A pleasant work environment, with ideally located offices in the 6th district of Marseille offering a magnificent view upon Notre Dame de la Garde and the Mediterranean Sea. 
    • The possibility of working from home 2 days a week
    • Passionate colleagues that have the same goal in mind: improve patients’ lives
    • A corporate culture based on innovation, empowerment and collaboration.
    • An international environment that allows you to practice your best american accent
    • Prospects of ambitious evolutions with various internal mobilities
    • Regular team building events, breakfasts for gourmands and for the people enjoying sport activities, free weekly yoga classes and preferential rates for a gym subscription.
    • And more traditional advantages: a lunch voucher card (Swile), a good health insurance (Malakoff Humanis), a vacation bonus, RTTs in addition to paid vacation, as well as exceptional days of absence on top of those provided in the collective agreement (compensation hold in case of illness starting from 6 months of seniority, additional days for a sick child, moving leave, etc.) 

    • Join a company on a human scale, whose operations leave room for initiative and innovation in the service of patients.

🫀 Our recruitment process

    • Interview with the N+1
    • Interview with the N+2
    • Reference Check
    • Culture fit interview with a member of the HR team and a Volta ambassador
€40,000 - €60,000 a year
A fixed gross compensation ranging between 40 and 60 K€ a year as well as a variable part, both depending on your seniority
The information that you provide is subject to personal data processing by Volta Medical as data controller for the purpose of managing your job application. 
 
The information provided is for the use of Volta Medical’s recruitment team as well as other recipients (individuals and organizations) involved in the recruitment for the position that you applied for. Your information will be stored for the duration of the processing of your application. If you are not selected for the position, your information will not be stored, unless you consented to being included in our applicant database. In this case, your information will be stored for 2 years from the date of the submission of your application to enable us to contact you for future opportunities. Nevertheless, you have the right to withdraw your consent at any time.
As part of its activities, Volta Medical may transfer data to a country outside of the European Union with appropriate safeguards in place.
Volta Medical’s Privacy Policy provides more in-depth details about how your information is used and stored, as well as the legal bases that dictate the information processing that is carried out. The Privacy Policy also includes a reminder of your personal data rights and information on how to reach us with any questions or concerns.
Full-time
Junior
Senior Engineering Program Manager (Data Science & Research)
Boston, MA
At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. 

We are seeking a highly skilled and motivated Senior Engineering Program Manager (Data Science & Research) to join our team at WHOOP. As a Senior Engineering Program Manager (Data Science & Research), you will play a critical role in managing and driving the success of our data science, analytics, and research initiatives. You will collaborate closely with cross-functional teams to ensure the smooth execution of development projects and the delivery of high-quality insights and solutions.

RESPONSIBILITIES:

    • Drive cross-functional collaboration data science, research, product, design, software engineering, membership services, and hardware so that engineering initiatives are properly prioritized and aligned with business objectives
    • Monitor and control program cost, schedule, performance, scope, and risk to ensure product features and services are delivered on time and within budget
    • Create and maintain program plans in close coordination with Data Science, Research, Product and Engineering Managers, including timelines, budgets, change logs, and risk mitigation plans
    • Identify and resolve program issues, including resource conflicts, scope changes, and timeline adjustments
    • Communicate key developments, updates, and risks to stakeholders in a timely manner 
    • Drive continuous process improvement within the software engineering organization, including developing and implementing best practices, standards, and procedures for program management 
    • Adapt and evolve to the needs of the team through the project or program lifecycle

QUALIFICATIONS:

    • Experience in engineering program management, with a proven track record of delivering complex software engineering initiatives on time and on budget 
    • Basic knowledge of Data Science and Research best practices
    • Experience leading cross-functional teams,with particular emphasis on data science and research initiatives 
    • Strong analytical and problem-solving skills, with the ability to think strategically about complex technical challenges 
    • Strong communication and collaboration skills, with experience working with stakeholders at all levels of the organization 
    • Experience with managing mobile app development 
    • Experience with agile methodologies 
    • Excellent project management skills, including the ability to manage multiple projects simultaneously.  
    • Experience with wearable devices, cloud technologies, distributed systems, and/or microservices architectures is a plus 
    • Experience with Jira and Google Workspace
    • Scrappy and resourceful. When something needs to get done, you find a way to make it happen 
    • Experience working in a fast startup environment and able to adapt to change 
    • Passion for health and fitness 
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

Full-time
Senior
Data Scientist
Fairfax, Virginia
About High Point:
We are a C-UAS solution provider, serving the United States and other foreign allied governments and commercial customers. Our mission is to keep civilians and military safe from the fastest growing threats of our time by solving time sensitive problems in national defense and political and economic terrorism.

We make rapidly evolving, layered C-UAS systems which provide persistent protection across varied threat environments and mission sets. We take on the rigorous task of trialing, fielding and developing the C-UAS kill-chain to ensure customers receive the best of breed sensors, effectors and systems for their mission.

About the role:
We are looking for a talented Data Scientist with a strong foundation in claims data analysis, applied statistics, and R/Python programming to join us in our commitment to develop cutting-edge counter-autonomy systems. You will be working with a growing multidisciplinary team of talented data scientists, statisticians, business analysts, engineers, and researchers to leverage a wide range of remote sensing and robotic data feeds to create advanced counter-autonomy systems. As a member of the team, you will work to perform exploratory data analyses, apply statistical models, and create robost autonomous systems based on a diversity of data inputs. We encourage new opportunities to shape our data science strategy, and value those who can lead and mentor junior members along the way.

Requirements

    • Ph.D., M.S., or B.S. in statistics, data science, applied mathematics, or a related field. Relevant work experience will be concidered on a case-by-case basis.
    • At least 1+ years of work experience as a Data Scientist for PhDs, 3+ years of experience for M.S. degree holders, and 5+ years of experience for B.S. degree holders.
    • Strong background in Python, R and SQL programming.
    • Experience with fundamental data science models, including Generalized Linear Models (GLM), Mixed Models and analysis of longitudinal data.
    • Experience developing code that is leveraged by a wider team and/or contributing to a collaborative code base.
    • Strong communicator with excellent ability to work in a team environment.
    • Eager to learn new techniques and work at the intersection of remote sensing analytics and a wide range of data science problems.
    • Experience and understanding of remote sensing technology is a plus
$125,000 - $190,000 a year
High Point Technologies provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Full-time
Senior
Senior Data Scientist
Bengaluru
About Simpl:
Simpl is India’s leading checkout network meant to make payments invisible and money intelligent. It is committed to the simplification and democratization of digital transformation in the payments space.

As India’s foremost consumer experience platform, Simpl is on a mission to empower merchants to build trusted relationships with customers, one transaction at a time. With more than 20,000+ available merchants and millions of trusted users pan-India, Simpl envisions creating an inclusive digital payment experience for India that empowers and fosters trust between merchants and their customers.

Simpl proves a full-stack solution for e-commerce conversion. It enables merchants to give customers 1-click checkout, buyer protection, and a pay-later facility to allow them to feel safe and trusted when shopping online. Through Simpl, merchants can provide consumers with an easy, secure, and intuitive user experience.

Everyone at Simpl is an internal entrepreneur who is given a lot of bandwidth and resources to create the next breakthrough towards the long term vision of “making money Simpl”. Our first product is a payment platform that lets people buy instantly, anywhere online, and pay later. In the background, Simpl uses big data for credit underwriting, risk and fraud modeling, all without any paperwork, and enables Banks and Non-Bank Financial Companies to access a whole new consumer market. 

About the role:
Data is the most valuable asset at Simpl. The Data Science Team is a key component of Simpl, responsible for developing and maintaining ML models, using alternative data, for various stages of the credit lifecycle: approval, user behavior monitoring and collections. 

Responsibilities
2) Evaluate and fine-tune machine learning models to achieve optimal performance metrics. Conduct experiments and A/B testing to improve model performance and explore different algorithmic approaches.
3) Analyze complex and large-scale datasets using statistical and machine learning techniques. Develop and implement predictive models, algorithms, and statistical analyses to extract insights and drive decision-making processes.
4) Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to understand requirements and develop data-driven solutions. Collaborate with team members to tackle complex problems and provide guidance to junior data scientists.
5) Stay up to date with the latest trends and advancements in the DS field and propose innovative solutions to business problems.

Qualifications
1)A bachelor's or master's degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, or a related discipline.
2) 4 to 6 years of hands-on experience in data science, machine learning, and statistical analysis. Experience in applying data science techniques to real-world business problems, preferably in the financial or fintech industry.
3) Proficiency in programming languages such as Python, with a strong understanding of data manipulation, statistical analysis, and machine learning libraries and frameworks.
4) Experience in working with big data technologies and cloud platforms preferably AWS.
5) Familiarity with popular data science tools and frameworks such as scikit-learn, pandas, or Spark. Proficiency in SQL for data retrieval and manipulation from databases.
6) Experience in deep learning techniques and frameworks such as TensorFlow, PyTorch, or Keras. Experience in developing and deploying deep learning models. Ability to leverage pre-trained models and transfer learning to optimize model performance in specific use cases.
7)Good written and verbal communication skills, with the ability to explain complex data science concepts to both technical and non-technical audiences.
Full-time
Senior
Technical Product Manager
San Francisco, CA
About the role
Anthropic's Product team is looking for one of our first product managers to spearhead deployment, working with engineers on rapid prototyping to set product strategy and meet the needs of our partners.  Our deployment efforts have to actively contribute to AI safety; we’re looking for someone who would be happy to put their tools down in case we find that it doesn’t.

About Anthropic
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.

Responsibilities:

    • Rapidly prototype different products and services to learn how generative models can help solve real problems for users
    • Work closely with our alignment team to define how to make our models more aligned, and with ML researchers to guide what capabilities are needed to serve users
    • Work closely with outside deployment partners to understand end-user needs and integrate their perspective into the development of the product
    • Everything else it takes to get a new product off the ground

You might be a good fit if you:

    • Enjoy tackling unusual and engaging product challenges, including exploring a potentially broad application space with safety as a primary goal
    • Love to think creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
    • Have technical capabilities to be able to have meaningful conversations with our partner developers.
    • Have software engineering experience
    • Enjoy empirical, data-driven approaches to deployment
    • Have experience gathering feedback, input and data from users and running beta tests
    • Are willing and excited to play many deployment-related positions, including those we haven’t scoped yet
    • Have successfully launched products before, finding ‘product-market fit’ or executing an ‘effective intervention’
    • Enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

Annual Salary:

    • The expected salary range for this position is $300k - $520k.
Logistics
Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.


Come work with us!
Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Full-time
AI Architect
Oslo
Please be aware that the Talent Acquisition team and Hiring Managers at Cognite will be on Summer holiday until early August 2023. During this period, we will be unable to review applications or proceed with the selection process.


About Cognite and Cogniters

The Product team is the team responsible for developing Cognite Data Fusion as a robust and scalable platform for solving industrial data problems at Cognite. The industrial data problem is at the heart of transforming asset-intensive industries to be safer, more sustainable and more profitable. Cognite’s Cognite Data Fusion makes the operational data available at scale and adds value to the data through data processing. This enables asset-intensive industries to make data-driven decisions. Our platform is built on many different technologies, each good at solving various challenges.

To build the best possible product, we believe in autonomous teams with developers, designers and product managers working closely together. We use the latest technologies ☁️ and work closely with end users to iterate quickly towards better product experiences 💻. That means that our users have the best data quality possible and ensure better insights for the user through data science and physical process modeling.

The rapid advances of Artificial intelligence (AI), especially around Generative AI, and in particular LLMs like OpenAI GPT family of models, have driven innovations starting to disrupt existing market spaces across industry. Many businesses are betting on AI as the next growth opportunity.

Are you passionate about applying state-of-the-art AI algorithms to real-world use-cases? Do you enjoy building end-to-end AI architectures that optimize or revolutionize existing processes? 

Are you fascinated by the new possibilities that Generative AI, Transformer models, and LLMs are creating to change the world?

We are looking for exceptionally talented and experienced individuals who have a proven track-record of working collaboratively with cross-functional internal and external teams, to identify opportunities and to lead the development of AI architectures in different industries that we target such as energy, manufacturing and utilities. The ideal candidate has a proven track-record for identifying repeatable patterns, to scale vertical solutions horizontally across industries. 

A typical day as a Cogniter will contain the following tasks & responsibilities

    • Drive architecture and design patterns for various AI and ML related models, and services as part of Cognite Data Fusion SaaS platform
    • Collaborate closely with cross-functional internal teams, including product management, engineering and program management, and external partners and stakeholders, to identify opportunities for developing end-to-end AI architectures for diverse industry scenarios.
    • Passion for applying state-of-the art AI algorithms to real-world problems.
    • Stay up-to-date with the latest developments in AI and related fields, evaluate new developments and technologies for potential integration into existing and future architecture

We believe most of these should match you and your experience

    • You understand the overall architecture of Transformer models, including LLMs
    • You understand how to leverage multiple ML models in tandem 
    • You are familiar with modern techniques for Language Understanding, Computer Vision, and other Machine Learning and AI technologies 
    • You're excited about working on a local and global team of engineers, researchers, and product managers.
    • A Masters degree in Computer Science, Electrical Engineering or related fields with focus on AI and machine learning. PhD is highly preferred. 
    • 7+ years of industry and research experience in Artificial Intelligence and Machine Learning
    • Experience with AWS, Google or Azure is Required

    • Don’t meet every single requirement? We are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

A snapshot of our many perks and benefits as a Cogniter

    • Competitive salary and benefits include a pension plan, insurance, parental benefits, and more.
    • Join an organization of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝
    • A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
    • Flat structure with direct access to decision-makers, with minimal amount of bureaucracy
    • Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
    • Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
    • Gain perks like a paid mobile telephone subscription and broadband connection.
    • Get access to extended private health services with Aker Care.
    • Hungry? We’ve got your back. A subsidized lunch at the canteen is delivered by our chefs who specialise in options for both vegetarians and non-vegetarian, salads and hot soups every day
    • Stay fueled between meals with snacks and drinks on the house. 
    • Our own Cognite exclusive coffee bar ☕ with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes.
    • We take your mental- and physical health seriously by having a broad health offering and a free membership to our fully-staffed gym on-site.
    • A pet lover? Get the chance to meet Spot 🐶!


    • Why choose Cognite? 🏆 🚀
      Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainabilityfor clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader! 🥇 Most recently Cognite Data Fusion® Achieved Industry First DNV Compliance for Digital Twins 🥇
Apply today!
If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. Please do not hesitate to contact our Talent Acquisition team with any questions - Amy Ruban at amy.ruban@cognite.com.

We encourage you to follow us on Cognite LinkedIn; we post all our openings there.

Be aware that this position is also published in Austin, USA.



Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world. Our core Industrial DataOps platform, Cognite Data Fusion™, enables industrial data and domain users to collaborate quickly and safely to develop, operationalize, and scale industrial AI solutions and applications to deliver both profitability and sustainability. Visit us at www.cognite.com and follow us on Twitter @CogniteData or LinkedIn: https://www.linkedin.com/company/cognitedata

Equal Opportunity
Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment; everyone we hire will receive the same level of consideration for training, compensation, and promotion. 
We ask for gender as part of our application because we want to ensure equal assessment in the recruitment process. Your answer will help us reach this commitment! However, the question about gender is optional and your choice not to answer will not affect the assessment of your application in any way.
Full-time
Senior
AI Research Scientist
Cupertino, CA
Gridmatic Inc. is a high-growth ClimateTech startup based in the San Francisco Bay Area that is accelerating the clean energy transition by applying our expertise in data, machine learning, and energy to power markets. We are the rare startup that has 6 years of profitable growth without raising venture capital. Gridmatic is a great place to work with a culture that values teamwork, continuous learning, diversity, and inclusion. We are environmentally and data-driven, with a growth-oriented mindset and we value integrity as much as excellence.

We are looking for an AI Research Scientist to expand the horizons of our technology as we work to accelerate the decarbonization of the electricity system. This role involves applied research, and hence the ideal candidate will possess a deep understanding of forecasting techniques, and will develop the knowledge and understanding necessary to apply them to energy markets. They will investigate new technologies to better solve problems we already model, as well as designing solutions to problems we don’t yet solve. In addition, they will work to generalize these solutions so they can be applied more broadly, including on academic datasets for the purpose of sharing with the academic community via publication. A successful candidate will embrace constant learning of both engineering and mathematical concepts, as well as economics and electricity market related topics.

What you might work on

    • Develop understanding of mathematics and mechanisms of energy markets in order to be able to discover and adapt appropriate methods to solve specific problems.
    • Keep abreast of latest advances in ML research in order to consider if any new methods are especially promising for problems in the electricity market space.
    • Generalize and unify problem frameworks across electricity markets.
    • Design, perform, and analyze experiments for new ML techniques, as well as consult on those tasks for others on the ML team
    • Applying cutting edge ML techniques to problems in the energy space.
    • Promote probabilistic thinking and rigor in statistical testing across the company.
    • Mentor machine learning engineers on modeling and communication of results (including for publication)
    • Author research papers in the fields of generative modeling / forecasting / decision making under uncertainty.
    • Write, optimize and review code, with attention to performance and readability.

You might be a good fit if you:

    • have at least 5 years of experience conducting (basic or applied) ML research.
    • have a strong publication record: NeurIPS, ICLR, ICML; and/or papers on forecasting and generative/probabilistic models in CV/NLP/Speech venues.
    • have earned a PhD in ML, statistics or related quantitative modeling field.
    • have deep knowledge of math, probability, statistics and algorithms. 
    • show proven experience researching and implementing relevant machine learning models.
    • are able to write robust code in Python.
    • are familiar with ML frameworks (like PyTorch or TensorFlow) and libraries (like scikit-learn). 
    • have outstanding analytical and problem-solving skills. 
    • have excellent mentorship, communication, and teamwork skills. 
    • have enthusiasm for learning. Knowledge of the energy industry a strong plus.
$140,000 - $240,000 a year
FAQ

What’s your policy on remote work?
We value the ability to work and collaborate in-person in our early stage as a startup, so Gridmatic has a hybrid policy of "50% in-office”. Most of the company works in our Cupertino office 2 or 3 days a week.

How does the interview process work?
We start with 1-2 initial conversations about the role, your past experience, and Gridmatic as a company. We then have a skills assessment which involves a take-home project; if that goes well, you’d come onsite to Cupertino to talk to the team.

Join our team and make a difference! Click below or email us at careers@gridmatic.com.
Full-time
Senior
Generative Models
Research Scientist - Prediction
Remote, US
ISEE is seeking a full-time Senior Research Scientist - Prediction to join our team. The ideal candidate has 5+ years of relevant experience in behavior or trajectory prediction, computer vision, motion planning, machine learning, or related areas.

Role responsibilities include:
- Architect and build pipelines for training and evaluating models on real driving data
- Develop and evaluate behavior/trajectory/intent prediction models
- Optimize prediction performance for real-time processing
- Collaborate with and mentor junior engineers
- Engage in cross-functional collaborations with perception and motion planning teams

Qualifications:
- Advanced degree in Computer Science, Robotics, or related field
- Strong knowledge and experience in: pedestrian or vehicle behavior/trajectory prediction, intent prediction, generative modeling, sequence modeling, computer vision, machine learning, robotics
- Experience in deploying deep learning models at scale on real-world data in at least one of these deep learning frameworks: PyTorch, Tensorflow, Jax
- Strong C++ and/or Python skills

Preferred:
- Experience collaborating cross-functionally with perception and planning teams
- Passionate about self-driving vehicles and real-world robotic solutions.
- Strong presentation and communication skills.
- Publication record in top-tier robotics, machine learning, or computer vision conferences.
- At least 3+ years industrial experience in developing Computer Vision/Deep learning algorithms in real-world scenarios.
- Robotics/autonomous experience is a plus.
Full-time
Senior
Operator in Residence (OIR): Generative AI
New York, NY
Primary Venture Partners is looking for an Operator-In-Residence (OIR) to join its Incubation program with a Generative AI focus. Primary is an early-stage venture capital firm with close to $1B AUM, investing in pre-seed and seed-stage startups based in New York City. The firm’s Incubation arm launched in 2019 to support the ideation, research and launch of new startups. Primary’s first three incubated companies will return its first fund many times over, and Primary is now primed for substantial growth in its Incubation efforts in 2023. Check out our blog post, “What Invention and Incubation have in Common” to learn more about Primary’s incubation philosophy.

Primary is looking to hire an OIR focused specifically on Generative AI opportunities. Generative AI has taken the technology and venture world by storm. If you are reading this JD, you have likely seen firsthand the amazing power of these new technologies, and you may have interacted with Generative AI applications that feel fresh and new in all sorts of exciting ways. 

We at Primary have a concerted focus to invest in and incubate businesses capitalizing on this technological shift. We are looking to hire someone solely focused on helping us incubate a business in this domain, specifically one at the infrastructure layer enabling builders to more easily create new businesses and products that leverage Large Language Models.

The right person for this role is technically proficient, although they do not need to be a software engineer. They can build and ship new products and have a fluency with the core technologies underlying LLMs and Generative AI applications. At the same time, they want to build 0 to 1 and be a part of researching new businesses in this domain. More than anything, they believe Generative AI is potentially the next great platform shift and are itching to get involved in building for a new age of technology.

What You'll Do:

    • Support Primary’s idea generation and vetting process
    • Conduct intensive market analysis, competitive landscaping and customer research
    • Develop business models, product roadmaps, and go-to-market strategies for the most promising startup ideas
    • Create pitch decks and other investor materials
    • Join the company in its launch phase as a founding team member responsible for gaining initial traction, building out the rest of the team, and supporting business operations or go back to the drawing board with the Incubation program all over again

About You:

    • Self-starter: you have an entrepreneur’s intrinsic motivation, capable of independently running with business ideas with substantial ambiguity
    • Network-builder: you’re comfortable developing relationships with industry leaders from the ground up; having your own personal network in the AI space is a plus
    • Entrepreneurial: you are eager to engage in the venture and startup ecosystem and have your finger on the pulse when it comes to new deals and emerging business models in the AI landscape
    • Storyteller: you’re able to learn rapidly, develop a strong point of view, and communicate compelling narratives
    • Commercially-minded: you are comfortable with financial models and concepts and can quickly assess the feasibility and scalability of a new venture idea
    • 6+ years of experience in consulting, investing, or startups with an AI focus
    • Work or research experience in AI preferred
    • MBA not required but a plus
$140,000 - $180,000 a year
Compensation is market-competitive with a yearly cash base of $140,000 - $180,000 and will include equity in the startup you help to build.
If interested, please apply below. We look forward to meeting you.
Full-time
Generative Models
Founder-In-Residence (Generative AI for Procurement)
United States
AI is the new electricity. Just as it transformed entire industries 100 years ago, AI is poised to do the same today. AI Fund is a venture studio that was formed to be at the forefront of this revolutionary wave. We harness artificial intelligence to create innovative solutions for the big challenges of today. With the collective aspirations of our co-founders, we build companies from inception to market launch. We innovate, ideate, and validate to address some of the most pressing issues in human capital, healthcare, wellness, and other traditional industries.

Founded in 2017 by Dr. Andrew Ng, the $176 million-dollar funded venture studio is backed by top-tier VC firms and investors, and powered by the AI Fund teams’ combined experiences as AI pioneers, entrepreneurs, venture capitalists, and operators.

Why partner with AI Fund
We’ve been there.  We’ve founded and scaled successful companies ourselves, and we know that creating meaningful startups is really hard.  Many entrepreneurs toil with ideas for years.  Many spend time building something without the foresight of limiting factors that could have been easily dismissed upfront.  Accomplished execs often teeter between a desire to start a company and creating something great versus taking a job that is less fulfilling.  If only someone could help with taking the risk out of turning an idea into reality and accelerate the company building process, more people would be inspired to start a company.

Coming up with great ideas, sussing them out, assembling great teams, and helping raise capital is what we do.  We shorten a process that can take years down to months.  We make sure you are going after the right market, are fully validated, and are surrounded by great teammates.  Lastly, we make sure you see the world through the lens of a data scientist and machine learning expert, which is the perspective any meaningful company in the future must have.

But we also know that the process is not about us.  It’s about great Founders and empowering them to do great things.

What We Seek
We are looking for passionate entrepreneurs with first-hand knowledge of the problem they have encountered or entrepreneurs that might match to a problem or idea we already have.

It’s not a mandate, but ideally, we want people with experience solving business problems and have a keen eye for anticipating business risks.  You may have been a product manager running a product or product line before.  You may have been an engineer who has been on the front lines of helping shape a company.  You may have been a management consultant who has experience in a particular vertical.  Or perhaps you are a proven entrepreneur who recognizes that the difference between success and failure is razor-thin, and you want every advantage you can get.

Lastly, we want people who are leaders.  We desire people who can hire great people, get others excited about their vision, raise capital, and make it all happen.

About The Project
You have the opportunity to lead the Generative AI revolution in the procurement, and make a real difference to the way businesses operate. At the core of our vision lies the powerful synergy between generative AI and the complex world of procurement. We have harnessed the potential of Language Models (LLMs) to automate the tedious yet crucial paperwork that engulfs the procurement process. We will be able to create a differentiated business by building a new systems of record within this space, establishing a highly defensible business that reshapes the foundations of procurement.

Imagine a world where businesses seamlessly leverage our cutting-edge AI platform to automate every facet of their critical procurement processes, from sourcing deals to submitting RFPs. This is the vision we are building—one where mundane tasks are delegated to machines, freeing up valuable time and resources for construction businesses to focus on their core strengths, achieve exceptional results, and drive profitability.
The problem we are solving is not just a pressing issue for our target customers; it is a top priority that directly impacts their revenue and profitability while reducing operational costs.

We understand the challenges faced by businesses in securing lucrative projects, optimizing costs, and delivering with unparalleled efficiency. Our goal is to build a business that will tackle these pain points head-on, empowering our customers to unlock unprecedented levels of productivity and competitive advantage.

What You Will Be Doing:

    • The FIR will work with the AI Fund Leadership Team to launch and scale a new business from the ground up. We want to work with entrepreneurs who are obsessed with startups and building exceptional products.
    • Work alongside our staff to iteratively research and validate on a problem  that can be solved with AI/ML. This includes idea validation, product validation, market validation, and funding validation.
    • Design a product and prototype it.
    • Set the vision and the strategy of the portfolio company once the idea has been tested and determine product market fit.
    • If all makes sense, we capitalize the company to help you stand the company up, bring in the best talent, build the product, and get pilot customers

Must Haves For the Role Include:

    • Prior Enterprise SaaS and B2B experience
    • Prior startup founder or experience working at an early stage hi-tech company
    • Integral part of building technology companies from 0 to 1 
    • Strategic thinking
    • Self-starter who will thrive in an ambiguous startup environment
    • Competitive, entrepreneurial mindset
    • Demonstrated experience building products and leading teams
    • Demonstrated track record of success
    • Demonstrated ability to fundraise
    • Demonstrated ability to move fast and make sound judgment while doing so
    • BA/BS degree or equivalent practical experience
    • Ability to attract and motivate great team members
    • Good communication skill and team player

Nice To Haves Include:

    • Advanced degree or equivalent practical experience
    • Skill to foster good company culture
    • Solid understanding and uncanny curiosity about AI
    • Experience selling technology to low tech or regulated industries
    • Procurement experience

Characteristics That We Value:

    • Accountability: an obligation or willingness to accept responsibility or to account for one's actions while doing so with the highest regard for integrity.
    • Leadership: able to influence others to follow you and lead the team to a brighter future.
    • Grit: able to stick with projects and work hard through good and bad times. High pain tolerance and can perform well under stress or pressure.
    • Scrappy: Takes initiative and is proactively able to get things done with low resources, but doing creative things, begging, borrowing, and whatever is needed in an ambiguous environment or situation.
    • Ownership Orientation: Demonstrated orientation of extreme ownership over all aspects of the company and extremely results-driven in nature.
At AI Fund, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. AI Fund and Book And I believe that diversity and inclusion among our employees is critical to our success as a company, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.
Contract
Generative Models
Prompt Engineering Intern
Istanbul
About Codeway

Codeway was founded in 2020 with a vision of turning strong ideas into sector-leading mobile products.
 
Today, Codeway is a thriving tech company with multiple sector-leading apps, and is home to 120+ bright & curious minds in Istanbul, Turkey.
 
We create mobile games and applications that millions of users love. We curate bold ideas and transform them into fast-growing products - from concept, through development, up to global market expansion. Our products have reached over 100 million users across 160 countries in six continents - and we’re just getting started.

Our AI-powered apps are dominating the global charts and Codeway is already among the top 50 publishers worldwide in terms of downloads, with our products reaching millions of users. We're now determined to become a leading AI pioneer in the sector, driven by our growing focus on becoming a research-oriented company.

Position

We are looking for a talented Prompt Engineering Intern to join our team. As a key member of our AI and product teams, you'll play an essential role in developing and refining prompts for cutting-edge AI language models and generative AI systems.

Your responsibilities will include optimizing AI performance, staying up-to-date with the latest AI advancements, and experimenting with new prompt engineering techniques. We value individuals who are self-motivated, proactive, and possess strong analytical and problem-solving abilities. If you're eager to contribute to the success of our mobile apps and have a keen interest in AI, GPT, and related technologies, we want to hear from you!

Join us on this exciting journey and help shape the future of mobile apps through the power of AI.

What You'll Be Doing

·       Collaborate with AI and product teams to develop and refine prompts for AI language models like GPT-4 and generative AI models such as Stable Diffusion
·       Analyze model behavior and understand potential limitations to optimize performance and user experience
·       Regularly test and modify prompts to guarantee optimal outcomes and uphold high-quality standards
·       Contribute to the implementation, assessment, and management of AI-related integrations
·       Stay up-to-date with the latest AI/GPT advancements and trends. Investigate and report on advancements related to AI technologies such as Stable Diffusion or ChatGPT
·       Investigate and experiment with new prompt engineering techniques to optimize our prompts
·       Support the training and fine-tuning of AI models for specific use cases
·       Examine user feedback and other relevant data to continuously refine AI-driven features of our apps

What You'll Bring

·       Familiarity with programming languages commonly used in AI development is a plus (Not mandatory)
·       Prior experience with AI language models such as GPT-3 or GPT-4, or working with generative AI models (e.g., DALLE / Stable Diffusion / Midjourney)
·       Strong understanding of Natural Language Processing (NLP) techniques and toolsets (Engineering background not required)
·       Keen interest in AI, GPT, and associated technologies
·       Good analytical and problem-solving abilities
·       Self-motivated, proactive, and organized
·       Self-starter mindset who works independently while contributing to team goals
·       Passion for mobile apps and the app industry
·       Excellent written and verbal communication skills in English

Part time
Senior Fullstack Engineer
Remote (USCanada) /
We believe AI will be embedded in today's businesses and help people start tomorrow's businesses. Our SaaS product allows entrepreneurs, marketers, and copywriters to use the latest natural language processing (NLP) models to improve their communication and accomplish business goals.


We’re a scrappy startup so this role is what you make of it, but we’ll help you every step of the way. You’ll be able to look back and see your impact as we grow and evolve. There’s a lot to take on, but we trust that you’re up to the challenge.

Copy.ai is a remote company. All employees must be able to work 9am-5pm in any timezone Pacific to Eastern.

We’re looking for senior engineers to build the interface for every day people to interact with generative AI — we believe it’s an opportunity to do career-defining work. You will build the user interface and backend for the latest machine learning technology. Reporting to the Head of Engineering, your primary role will be building our SaaS web application. You will also work on other growth initiatives and products from time to time.

What you'll do:

    • Create highly functional and valuable experiences for people across the globe
    • Work with product, data science, and design to ship the best solutions within a reasonable timeframe
    • Influence the product roadmap by advocating for and educating the team on key technical concerns

About you; You are:

    • 6+ years of software engineering experience
    • Experience with SaaS, marketing tools, creator tools, and/or machine learning products is a plus
    • Experience with the entire product development lifecycle, including early-stage
    • Proficiency in ReactJS/NextJS/Typescript/NodeJS
Copy.ai is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We encourage applications from people of all races, religions, national origins, genders, sexual orientations, gender identities, gender expressions and ages, as well as veterans and individuals with disabilities.

What We Offer 😎:

👫 A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters; 30 team members as of 08/2022
💰 Competitive salary and stock option equity packages; We're a Series A startup
🏥  Excellent Medical Plans to choose from including HSA plans, PPOs, and HMOs from Kaiser and Aetna; Dental and Vision insurance; Copy.ai pays up to $700/month per employee for monthly premiums
🏠 100% REMOTE startup! Our team is distributed all over the US and Canada
🛫UNLIMITED PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation
📈 401k plan and automatic 3% employer contribution from Day 1!!!!
💻 Brand new work-sponsored computer
🏝  IRL / In-Person retreats throughout the year


Copy.ai Organizational Values:

⭐️ Customer focus
⭐️ Transparency
⭐️ Data driven
⭐️ Dog-fooding
⭐️ Writing
⭐️ Creativity
⭐️ Learning
⭐️ Ownership 
Full-time
Senior
Generative Models
AI Application Engineer
Mexico
We value inclusivity and diversity at Envato. Research shows candidates from neurodiverse and underrepresented backgrounds often only apply for roles if they meet all the criteria. We like to make our hiring decisions based on experience and passion, so if you’re keen to apply and need reasonable adjustments please let us know. We also encourage you to let us know the pronouns you use at any point during the recruitment process. 

About Placeit 

As Envato continues to grow, so does our ability to find new and expanded opportunities to offer value, support, and inspiration to digital creatives worldwide. With Placeit, Envato provides the tools, tips, and tricks many creatives, marketers and small business owners need to bring their ideas to life. Placeit counts companies such as Google, Facebook, and Oracle as their paying customers, and has over 180,000 subscribers worldwide.


We’ve embraced flexibility for a long time - where we can, let’s make work, work for you! We have an amazing office in the Colonia Americana neighborhood in Guadalajara, Jalisco, Mexico; but our roles can be based ANYWHERE in Mexico (that has a great internet connection).

Purpose

Our AI Team is focused on building features and functionality that help Placeit Do It For You - meaning help our users accomplish their design tasks faster and with higher quality. We are looking for an AI Application Engineer (L4) to join our team and help build AI, Machine Learning, Computer Vision and Data Science solutions across our product portfolio. This role will work on discovery, development, fine-tuning, optimization and deployment of both pre-trained and custom models. The successful candidate will be someone who is excited by the breakneck pace of new developments in the artificial intelligence field and who dreams about using them in real-life production use cases.

Key Duties & Responsibilities

● Implement solutions in 2D and 3D graphics and analytics problems
● Collaborate with cross-functional teams to integrate solutions into existing workflows
● Identify and solve complex problems related to AI, machine learning, computer vision and data science
● Maintain problem discovery and solution documentation
● Develop, fine-tune, deploy and manage AI applications using pre-trained and custom models
● Optimize systems for accuracy, efficiency, and scalability
● Stay up-to-date with the latest AI/ML technologies and research to improve Placeit’s offerings
● Team player on an Agile team, working together to deliver at pace, scale and with quality to support our products 

Required Technical Skills/Experience

● Excellent English in both written and verbal communication
● Bachelor’s degree in Computer/Data Science or equivalent experience in related field
● 5+ years experience with software development methodology, Agile, source control, estimation, and code review
● Experience with PyTorch, TensorFlow, or similar tools and platforms
● Understanding of AI/ML/computer vision fundamentals, such as neural networks, deep learning, natural language processing, transforms, generators and attention
● Strong programming skills, Python preferred.
● Familiarity with cloud-based AI solutions and architectures like AWS SageMaker, Google Colab, etc
● Excellent collaboration and communication skills in English, both written and verbal
● Familiarity with other popular AI and ML platforms and tools, such as Keras, Cuda,  scikit-learn, Hugging Face, Stable Diffusion, etc. is helpful
● Strong problem-solving skills and ability to work independently
● Passion for AI and ML and desire to learn and grow in the field 
● Working knowledge of a container runtime like Docker or Podman

Required Professional Competencies/Experience

● Problem solving and critical thinking abilities
● A growth mindset
● Business Awareness
● Organizational skills
● A quality orientation
● Flexibility
● The ability to empowers others
● A passion for learning new skills

#LI-Remote
What we offer

Competitive Salary based on qualifications

● 30 days - Christmas Bonus
● 12 vacation days (from the first year)
● 100% holidays bonus
● Private Health Insurance (SGMM)
● 5% Grocery Coupons (With legal cap)
● 5% Savings Funds (Fondo de Ahorro)
● Internet/electricity allowance (monthly paid)
• Profit-share, Mexican entity
● A performance-based bonus program worth up to 10% annually
● Round trip tickets around Mexico to a place you haven’t been twice a year.
● Unlimited ebooks
● Paid for educational courses that relate to your work
● Top line equipment

What next?
Submit your resume and answers to the below questions. Good luck!

About Us
- We’re BCorp certified & believe in succeeding sustainably as one global team.
- We’re committed to ensuring all our team feel welcome, included, and respected.
- We support the flexibility to work from anywhere in Mexico, great benefits above the law, generous parental leave, wellness programs, social connection and learning opportunities to help you grow.

By submitting your application you are agreeing to our Privacy Policy. If you would like to understand how we handle personal information before submitting your application, please read through our Privacy Policy.

Envato is proud to be a 2023 Circle Back Initiative Employer and we commit to respond to every applicant.
Full-time
Mid Level
Artificial Intelligence Engineer
San Francisco Bay Area, Remote
Do you want to impact the education of K 12 students with us?

Kira Learning is creating curriculum and learning tools that empower teachers and prepare students for a world in which technology and science play pivotal roles in everyone's lives.

We are backed by top-tier Venture Capital funds including New Enterprise Associates (NEA), Andrew Ng’s AI Fund, and Primavera, and are growing fast.

We are looking for an Artificial Intelligence Engineer that will own the end-to-end product execution by understanding student and teacher needs, building features that can be tested, and more.

This is a Remote position that can be based anywhere in the US
For this position, you must already have, or be able to obtain, authorization to work in the United States.

As an AI Engineer at Kira, you will:

    • Write programs using AI to improve student learning experience by implementing features including but not limited to: autograding coding exercises, giving automated detailed feedback to students, and personalizing a student’s learning experience with adaptive learning techniques.
    • Design and audit Kira Learning’s code review processes, and ensure that the company’s code base is maintainable, efficient, and well documented. 
    • Own end-to-end product execution, including working closely with Kira Learning’s UI/UX designer on interaction and visual design.
    • Work closely with Kira Learning’s Product and Content teams to ideate, scope, develop and iterate on end-to-end products as well as specific product features.
    • Understand and prioritize student and teacher needs, and translate these into product ideas and features that can be tested.

Your Experience and Skills include:

    • Bachelor’s or Master’s degree in Computer Science, or equivalent experience.
    • 2+ years experience as an AI engineer leading software design decisions, defining and managing end-to-end project requirements, and shipping complex products with minimal guidance.
    • Strong understanding of machine learning algorithms
    • Familiarity and experience working with NoSQL databases like MongoDB.
    • Familiarity and experience working with AWS.
    • Impeccable attention to detail.
    • Experience leading software engineering projects in a rapidly changing environment.
    • (Preferred) Strong grasp of frontend web development frameworks, in particular React and Next.js.

Compensation and Benefits:

    • Competitive salary and equity package in a well-funded, high-growth company (160k-200k).
    • Unlimited paid time off and paid parental leave.
    • Top-notch healthcare service.
At Kira Learning, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Kira believes that diversity and inclusion among our employees are critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided based on qualifications, merit, and business need.
Full-time
VP of AI Engineering
Austin, Texas

The Product team is the team responsible for developing Cognite Data Fusion as a robust and scalable platform for solving industrial data problems at Cognite. The industrial data problem is at the heart of transforming asset-intensive industries to be safer, more sustainable and more profitable. Cognite’s Cognite Data Fusion makes the operational data available at scale and adds value to the data through data processing. This enables asset-intensive industries to make data-driven decisions. Our platform is built on many different technologies, each good at solving various challenges.

To build the best possible product, we believe in autonomous teams with developers, designers and product managers working closely together. We use the latest technologies ☁️ and work closely with end users to iterate quickly towards better product experiences 💻. That means that our users have the best data quality possible and ensure better insights for the user through data science and physical process modeling.

The rapid advances of Artificial intelligence (AI), especially around Generative AI, and in particular LLMs like OpenAI GPT family of models, have driven innovations starting to disrupt existing market spaces across industry. Many businesses are betting on AI as the next growth opportunity.

What You'll Do

    • The VP of Applied AI Engineering will work closely and collaboratively across Product Management, Product Engineering, and Technical Program Management to develop and focus on adding Generative AI and Machine Learning different layers of Cognite Data Fusion Platform that can lock step with the evolution of the best of breed AI technology. This will allow us to continue our leadership in the Industrial Data Cloud domain, and to build best in class capabilities and product experiences that are delightful to use and to operate.
    • To lock-step with the evolution of the best of breed AI technology and human ingenuity, the system will enable the AI model to learn from SMEs, and will have the flexibility to utilize LLMs and State of The Art as the AI technology advances.
    • This leader will build an efficient engineering system and team by attracting world-class AI architecture and engineering talent and by utilizing engineering best practices to deliver solid quality software, and fast.

Who You Are

    • You understand the overall architecture of Transformer models, and Generative AI including LLMs
    • You understand the overall software architecture, including cloud software, device software, Kubernetes container orchestration, and modern software design patterns   
    • You are familiar with modern techniques for Language Understanding, Computer Vision, and other Machine Learning and AI technologies  
    • You're excited about working on a local and global team of engineers, researchers, program managers, and product managers.
    • A Masters degree in Computer Science, Electrical Engineering or related fields with focus on software engineering
    • 20+ years of industry experience in Software Engineering, Artificial Intelligence and Machine Learning

Why choose Cognite? 🏆 🚀

A snapshot of our many perks and benefits as a Cogniter

    • Competitive Compensation including base plus bonus
    • 401(k) with 4% employer matching
    • Health, Dental, Vision & Disability Coverages with premiums fully covered for employees and all dependents
    • Unlimited PTO + flexibility to enjoy it
    • 18 Company Holidays including the week between Christmas & New Years
    • Paid Parental Leave Program
    • Employee Stock Purchase Program (ESPP)
    • Employee Referral Program
    • Company Paid Friday Lunch via DoorDash + Fully Stocked Fridges in the offices
    • Join a team of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝.
    • A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
    • Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
    • Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
    • Paid mobile phone and WiFI
    • A pet lover? Get the chance to meet Spot 🐶!
Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world. Our core Industrial DataOps platform, Cognite Data Fusion™, enables industrial data and domain users to collaborate quickly and safely to develop, operationalize, and scale industrial AI solutions and applications to deliver both profitability and sustainability. Visit us at www.cognite.com and follow us on Twitter @CogniteData or LinkedIn: https://www.linkedin.com/company/cognitedata

Equal Opportunity
Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment; everyone we hire will receive the same level of consideration for training, compensation, and promotion. 
We ask for gender as part of our application because we want to ensure equal assessment in the recruitment process. Your answer will help us reach this commitment! However, the question about gender is optional and your choice not to answer will not affect the assessment of your application in any way.
Full-time
Senior
Generative Models
Prompt Engineer & Librarian
San Francisco, CA
Anthropic’s AI technology is amongst the most capable and safe in the world. However, large language models are a new type of intelligence, and the art of instructing them in a way that delivers the best results is still in its infancy — it’s a hybrid between programming, instructing, and teaching. You will figure out the best methods of prompting our AI to accomplish a wide range of tasks, then document these methods to build up a library of tools and a set of tutorials that allows others to learn prompt engineering, as well as work with high value partners to directly solve their challenges.

Given that the field of prompt-engineering is arguably less than 2 years old, this position is a bit hard to hire for!  As a result, we ask that you share with us a specific prompt engineering project on LLMs that you’re proud of in your application!  Ideally this project should show off a complex and clever prompting architecture or a systematic evaluation of an LLM’s behavior.  

About Anthropic
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.

Responsibilities:

    • Discover, test, and document best practices for a wide range of tasks relevant to our customers.
    • Build up a library of high quality prompts or prompt chains to accomplish a variety of tasks, with an easy guide to help users search for the one that meets their needs.
    • Build a set of tutorials and interactive tools that teach the art of prompt engineering to our customers.
    • Work with large enterprise customers on their prompting strategies.

You may be a good fit if you:

    • Have 3-5 years of relevant or transferrable experience.
    • Have at least a high level familiarity with the architecture and operation of large language models.
    • Are an excellent communicator, and love teaching technical concepts and creating high quality documentation that helps out others.
    • Are excited to talk to motivated customers and help solve their problems. 
    • Have a creative hacker spirit and love solving puzzles.
    • Have at least basic programming skills and would be comfortable writing small Python programs.
    • Have an organizational mindset and enjoy building teams from the ground up.
    • You think holistically and can proactively identify the needs of an organization.
    • Make ambiguous problems clear and identify core principles that can translate across scenarios.
    • Have a passion for making powerful technology safe and societally beneficial.
    • You anticipate unforeseen risks, model out scenarios, and provide actionable guidance to internal stakeholders.
    • Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks.
    • You stay up-to-date and informed by taking an active interest in emerging research and industry trends.

Annual Salary

    • The expected salary range for this position is $250k - $375k USD.
Hybrid policy & US visa sponsorship: Currently, we expect all staff to be in our office at least 25% of the time. We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

LinkedIn tracking: #LI-DNI

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.


Come work with us!
Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Full-time
Research Engineer (AI)
San Francisco, CA
Perplexity AI looking for an experienced Research Engineer to join our team and help us develop and deploy large-scale language models (LLMs) to power our product. You will be responsible for training and inference infrastructure that supports our in-house LLMs. If you have a passion for pushing the boundaries of AI and a drive to make an impact, this is the perfect opportunity for you!

Responsibilities:

    • Design and implement large-scale data pipelines that feed billions of high-quality tokens into LLMs
    • Scale and distribute LLM training infrastructure to maximize efficiency
    • Optimize evaluation pipelines to ensure accuracy and reliability
    • Enhance inference infrastructure to reduce serving cost and latency while maintaining 99.9% uptime
    • Continuously improve LLM performance and accuracy

Requirements:

    • Proven track record of working with large-scale LLM and Deep Learning systems
    • Strong programming skills, with a preference for versatile individuals
    • Enthusiasm and independence, with a willingness to take ownership of tasks
    • A passion for solving challenging problems

Nice to have:

    • PhD in Machine Learning or related areas
    • Experience building distributed systems
$160,000 - $220,000 a year

Compensation and Benefits

Perplexity AI’s compensation package consists of: salary, equity, and benefits. 
- The expected salary range for this position is $160K-$220K
- Equity - On top of this position's salary, equity will be a component of the total compensation. 
- Benefits - Comprehensive health, dental, and vision insurance for you and your dependents.
- 401(k) 
- Generous home-office stipend
About Perplexity AI


Perplexity AI is on a mission to revolutionize the way people search and interact with the internet. We are creating a powerful conversational interface that harnesses the power of large language models to deliver more accurate and intuitive search results. Join us and help shape the future of search and AI technology.
Full-time
Mid Level
Natural Language Processing
Senior Engineer Applied AI/ML
Netherlands
Remote, UK or Netherlands

Position Summary 
HackerOne is hiring a Senior Engineer Applied AI/ML to help us apply our years of experience and data on cyber vulnerabilities in the world's largest companies to quickly detect and identify critical weaknesses in the systems that keep the world running. You will play a leading role in creating and implementing machine learning models and improving our data science efforts - so relevant data science experience is required. You'll be part of a growing, globally distributed data platform team responsible for building the foundation on which HackerOne runs.

As a Senior Engineer Applied AI/ML, you will work with a variety of stakeholders such as Product Managers, Data Analysts, Data Engineers, and Security Experts to solve challenging problems. You will combine broad technological expertise, deep domain knowledge, and unquestionable dedication to business objectives to help us use data to make the internet a safer place. Combining your product engineering, data science and security experience, you will help solve problems holistically through modeling, experimentation, and implementation.

Mission of the Data Platform Team at HackerOne
Researchers, customers, and triagers use the HackerOne platform to build a safer internet for the world. Our mission is to surface the plethora of data that HackerOne maintains to our customers and hackers, in order to help them be more successful in their security programs.

Your Journey at HackerOne

    • Your first day will start with a warm welcome and technical onboarding!
    • Your first 30 days will be focusing on getting to know our HackerOnies. You will join your new squad and begin onboarding - get to learn the data technology stack (Python, Airflow, Snowflake, DBT, Meltano, AWS). In parallel, you will be onboarding onto our Data Science efforts - learning about our existing ML models and understanding the data available to you so you can start thinking about and contributing to future AI/ML efforts
    • Within 60 days, you will have committed a bunch of code to our repositories and will start maintaining HackerOne AI/ML features.
    • Within 90 days, you will start influencing the AI/ML work the data platform team takes on and will have branched out and talked to Product, Sales, Operations, and various other functions, and developed a good sense of cross-functional collaboration and communication
    • Your journey doesn't stop here: your Engineering Manager will work with you on your growth path towards the future of your career so you become the best version of yourself!

Who You Are

    • You have 6+ years of development experience within a SAAS environment
    • 3+ years of experience building data-driven solutions
    • Knowledge of machine learning techniques (supervised/unsupervised learning, decision tree, neural networks, etc) and natural language processing (text classification, sentiment analysis, experience with large language models).
    • Strong security background
    • Experience using MLOps to deploy, maintain and improve machine learning models.
    • Passion for business-oriented data development
    • Strong programming skills, knowledge of algorithms, and data structures
Employment at HackerOne is contingent on a background check.

HackerOne is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.
This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.

HackerOne Values
HackerOne commits to maintaining a strong, inclusive culture built for our employees and our community of hackers. We are driven by our five core values. We recognize that our mission is bigger than us, and therefore act with integrity at all times. As a team, we believe that transparency builds trust so we default to disclosure in our communications. Each individual executes with excellence, creating an environment of greater alignment and greater autonomy. We win as a team and respect all people to empower everyone to learn from each other, innovate, and grow.

What We Do
HackerOne pinpoints the most critical security flaws across an organization’s attack surface with continual adversarial testing to outmatch cybercriminals. HackerOne’s Attack Resistance Platform blends the security expertise of ethical hackers with asset discovery, continuous assessment, and process enhancement to reduce threat exposure and empower organizations to transform their businesses with confidence. Customers include Citrix, Coinbase, Costa Coffee, General Motors, GitHub, Goldman Sachs, Hyatt, Microsoft, PayPal, Singapore’s Ministry of Defense, Slack, the U.S. Department of Defense, and Yahoo. In 2023, HackerOne was named Best Workplace for Innovators by Fast Company.

HackerOne is Digital First
Our work is optimized for asynchronous collaboration, knowledge management, and decision-making. HackerOne is creating an industry, and to do that, we must employ the most creative, forward-thinking distributed talent in the market. Our remote model allows employees to contribute to our mission while providing time and location flexibility which are core elements to a healthy relationship between professional and personal pursuits.

#LI-Remote
#LI-MR1
Full-time
Senior
AI/ML Engineer
SF Bay Area
WHAT GATHER IS BUILDING AND WHY
Gather lets you have all of your data at your fingertips, just like your photos, videos, texts and emails are today. Gather's app enables you to download your data from across the internet, create visualizations, and share your findings with others. Gather is building towards a future in which users take their rightful place in the center of the data ecosystem. Users will exert their influence not only over their own data, but also over entities that wish to operate on their data. Because of Gather, entire new generations of apps will emerge, consumers will never feel "locked into" a service/company, and users will gain a substantial share of the data economy.

Position overview: We’re looking for an entrepreneurial AI/ML engineer to lead Gather’s efforts to develop the definitive personal AI assistant - one that would combine the problem-solving skills of GPT with Gather's deep context about your life. This AI assistant could remind you of events from the past, get insights about the present and make decisions about the future! In this role, you will be expected to have a keen interest in artificial intelligence, machine learning, and staying current with the latest developments in a rapidly changing field. You will collaborate with a diverse team of software engineers, data scientists, and designers to apply AI to solve real-world problems and change the future for consumers.

You will:
- Keep up with the latest development in Generative AI (reading latest papers, be current on new developments and product trends) 
-> Have exemplary technical research chops. Evaluate level of effort for use cases described above and deliver demos one use case at a time
-> Be a hands-on tinkerer, be willing to experiment with new technology and code. Push our thinking on state-of-the-art possibilities with AI and be able to brainstorm with CTO, CPO, CEO etc.
-> Be creative and communicate effectively understand the full context of GATHER’s vision and potential use cases.
-> Think strategically and like a product manager. Lead a small team to deliver a product to make the full bot/assistant launch successful ->  exhibit leadership and some management experience.

Relevant skills sets:
Bachelor’s degree or several years of experience in computer science, data science, software development, or another related field; a master’s degree is recommendedSolid understanding of common programming languages used in AI, such as Python, Java, C++, and Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical conceptsExperience working with large data sets and writing efficient code capable of processing large data streams at speedFamiliarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworksExcellent communication skills
Gather summed up is big vision, major hustle, lots of laughter. When you step into our office, the energy is palpable, and we can't wait to add the next member of this team to the mix. Here are a few of the people you’ll be working with:

Sumit Agarwal - CEO & youngest-ever Deputy Assistant Secretary of Defense
Mengmeng Chen - CPO, previously built 3 successful zero-to-one products
Zan Doan - CTO, was the first engineer at Turing
Full-time
Mid Level
Principal Software Engineer - AI & ML platform
Bengaluru, India
Working at Atlassian

Atlassians have flexibility in where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

About Atlassian
Atlassian's mission "to unleash the potential of every team" is the guiding light behind what we do. We have developed well-known products such as Jira, Confluence, and Bitbucket, that fit into the fabric of teamwork across different types of teams and the processes to help every team succeed.
Atlassian helps teams everywhere change the world. Our products are changing the software industry, and helping teams collaborate and create the magic that provides their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to promote humanity.
About Central AI Team
Our organisation is designed to accelerate AI development across all our products and platform, provide cohesive AI experiences, and setup up an Atlassian AI infrastructure for the future. Our purpose is to:
Build horizontal AI capabilities and infrastructure which provide leverage across products
Build a centralised Search, Q&A, and Conversational AI across all Atlassian products.
Explore the integration of Atlassian products with AI products outside Atlassian.
 
About AI & ML Platform Team
 
We are building the foundations to democratise Machine Learning for Atlassian's teams, customers and ecosystem. Our goal is to create tools that are user-friendly and reliable, ensuring that Atlassian teams can easily embrace and use them. These tools will facilitate the development, deployment, measurement, and operation of AI & ML experiences. You will integrate with the Atlassian Data Platform, allowing teams to incorporate AI & ML capabilities into their workflows. The focus is on providing a smooth and hassle-free experience for Atlassian users, allowing them to use the power of AI & ML without any complications.
 
Job description
As a Principal Engineer on the AI & ML Platform team, you will build and shape the primary infrastructure to allow software engineers, ML engineers and data scientists to train, evaluate Machine Learning models and pipelines. Along with that, you will build systems for product teams like Jira & Confluence to provide access to curated LLMs. You will use your software development expertise to solve difficult problems, solving complex infrastructure and architecture challenges.
You will lead engineers to lead involved projects from technical design to launch. You will also collaborate with other teams and internal customers to set expectations, gather input and communicate results.

You'll get the chance to:

    • Tackle the largest and most complex problems with the team, from technical design to launch.
    • Provide solutions that are used by other teams and products.
    • Solve complex architectural challenges and define architectural standards.
    • Lead code reviews and documentation and take on complex bug fixes, especially on high-risk problems.
    • Partner across engineering teams to take on company-wide programmes.
    • Mentor junior members of the team.
    • Our tech stack is Java/Kotlin built on AWS.
    • On your first day, we'll expect you to have
    • Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin and Python).
    • Understanding of Machine Learning project lifecycle and tools.
    • Experience architecting and implementing RESTful microservices.
    • Experience building and operating large-scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security, and Networking).
    • Experience with Continuous Delivery and Continuous Integration.
It would be great, but not required if you have
Expert-level SQL knowledge, query tuning, schema design, and ETL processes.
5+ years of experience with Databricks or Apache Spark.
Experience with Amazon Sagemaker.
5+ years of experience scaling and deploying Machine Learning models.
Experience using LLMs.

Our perks & benefits


About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.
Full-time
Senior
Research Engineer, Product
San Francisco, CA
You care about making safe, steerable, trustworthy systems and are excited to commercialize them. You want to work at the confluence of safety research, capabilities research, and product. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that means running and designing experiments, working with major partners to improve our AI systems for their use cases, funneling AI safety and capabilities advances together into a single new system, or partnering with the API team to ensure the safety and security of new deployments. You're excited to write code when you understand the research context and more broadly why it's important.

About Anthropic
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.

Responsibilities:

    • Using Constitutional AI to improve AI safety, reliability, and performance in deployment
    • Profiling and improving the compute efficiency of various RL implementations
    • Design and manage untrusted execution environments
    • Scaling a distributed training job to thousands of GPUs
    • Creating a dashboard of evaluations for a variety of AI models and deploying it to customers

You might be a good fit if you:

    • Have extensive software engineering experience
    • Are results-oriented, with a bias towards flexibility and impact
    • Pick up slack, even if it goes outside your job description
    • Enjoy pair programming (we love to pair!)
    • Want to learn more about machine learning research
    • Care about the societal impacts and long-term implications of your work

Strong candidates may also:

    • Have experience with high performance, large-scale ML systems
    • Have experience with GPUs, kubernetes, pytorch, OS internals
    • Have experience with language modeling with transformers
    • Have experience with reinforcement learning
    • Have experience with large-scale ETL

Annual Salary (USD)

    • The expected salary range for this position is $250k - $450k.
Hybrid policy & US visa sponsorship: Currently, we expect all staff to be in our office at least 25% of the time. We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

Role-specific policy: For this role, we prefer candidates who are able to be in our office more than 25% of the time, though we encourage you to apply even if you don’t think you will be able to do that.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!
Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Full-time
Mid Level
Staff AI Infrastructure Engineer (Permanent Remote, US)
Dallas, TX
As a Staff AI Infrastructure Engineer, you will lead teams of engineers to develop ways to harness knowledge from one of the most extensive data sets of medical records, diagnoses, claims, and prescriptions. In this process, you will improve the efficacy of patient identification and delivery methods. You will enjoy the flexibility of being a part of a U.S.-based, permanently remote engineering and platform team. You will engage with stakeholders across multiple teams to lead the design, development, and productization of machine learning systems and solutions that help improve health outcomes for patients.

At Aledade, you will sit at the intersection of:
A huge problem; amounting to trillions of dollars of waste in U.S. Healthcare spending.
An approach that moves the needle; In the U.S., we wait until someone has a stroke, then are hospitalized. From there, no expense is spared. Using technology, Aledade changes that by enabling doctors to intervene with the proper preventive care, like blood pressure control, before it becomes a stroke.
A platform that works at scale; last year 11,000 physicians across 36 states served ~1.7M patients, saving 24,000 unnecessary hospitalizations and 120,000 visits to the emergency room using Aledade’s technology.

But the journey is only 1% done, come join us to build a world-class team that will not quit till it addresses the trillions of dollars of suffering in U.S. healthcare spending

Technologies we use:
Amazon Web Services, PostgreSQL / Amazon Aurora, Snowflake, Python, Node.js, Airflow, Spark, DataBricks, R, and various ML frameworks

Responsibilities:

    • Improve ML infrastructure for model development, training, and deployment.
    • Design multi-year vision, shaping the direction of some of our crucial machine learning areas - intervention identification, attribution prediction, and patient ranking and relevance. 
    • Architect systems to improve the relevance and drive business outcomes by making large, complex data sets more accessible. 
    • Work closely with Product Management, Practices, Sales, Customer Success, and other stakeholders to understand product usage patterns and trends and to make data-driven decisions and forecasts.
    • Maintain the security of protected patient health information.

    • As the engineering team grows, you will lift the people around you:
    • Mentoring and galvanizing new engineers to do their best work.
    • Working across disciplines to shape a product strategy and execution.

Qualifications:

    • BS/BTech (or higher) in Computer Science or a related field required
    • Ph.D. or Master's degree in a quantitative discipline (e.g., Computer Science[with AI/ML Major], Statistics, Operations Research, Economics, Mathematics, Physics) or equivalent practical experience.
    • 7+ years of experience developing and shipping code for production systems.
    • Experience working with large-scale distributed systems at scale and statistical software (e.g., Spark, SQL, Python, R, etc.)
    • Demonstrated leadership and self-direction. 
    • 4+ years of demonstrated proficiency scaling large scale machine learning systems, feature engineering, and model optimization. 
    • Proficiency in communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training.
    • Experience with security and systems that handle sensitive data.
Who We Are:
Aledade, a public benefit corporation, exists to empower the most transformational part of our health care landscape - independent primary care. We were founded in 2014, and since then, we've become the largest network of independent primary care in the country - helping practices, health centers and clinics deliver better care to their patients and thrive in value-based care. Additionally, by creating value-based contracts across a wide variety of payers, we aim to flip the script on the traditional fee-for-service model. Our work strengthens continuity of care, aligns incentives, and ensures primary care physicians are paid for what they do best - keeping patients healthy. If you want to help create a health care system that is good for patients, good for practices and good for society - and if you're eager to join a collaborative, inclusive and remote-first culture - you've come to the right place.

What Does This Mean for You?
At Aledade, you will be part of a creative culture that is driven by a passion for tackling complex issues with respect, open-mindedness and a desire to learn. You will collaborate with team members who bring a wide range of experiences, interests, backgrounds, beliefs and achievements to their work - and who are all united by a shared passion for public health and a commitment to the Aledade mission.

In addition to time off to support work-life balance and enjoyment, we offer the following comprehensive benefits package designed for the overall well-being of our team members:
Flexible work schedules and the ability to work remotely are available for many roles
Health, dental and vision insurance paid up to 80% for employees, dependents, and domestic partners Robust time off plan 21 days of PTO in your first year 2 Paid Volunteer Days & 11 paid holidays
12 weeks paid Parental Leave for all new parents
6 weeks paid sabbatical after 6 years of service
Educational Assistant Program & Clinical Employee Reimbursement Program
401(K) with up to 4% match
Stock options
And much more!

At Aledade, we don’t just accept differences, we celebrate them!   We strive to attract, develop, and retain highly qualified individuals representing the diverse communities where we live and work. Aledade is committed to creating a diverse environment and is proud to be an equal opportunity employer. Employment policies and decisions at Aledade are based on merit, qualifications, performance, and business needs. All qualified candidates will receive consideration for employment without regard to age, race, color, national origin, gender (including pregnancy, childbirth or medical conditions related to pregnancy or childbirth), gender identity or expression, religion, physical or mental disability, medical condition, legally protected genetic information, marital status, veteran status, or sexual orientation.

Privacy Policy: By applying for this job, you agree to Aledade's Applicant Privacy Policy available at  https://www.aledade.com/privacy-policy-applicants
Full-time
Senior
Deep Learning
Software Engineer
Palo Alto
Company Description

At Longtail we are building an intelligent, autonomous decision streaming platform for airlines. We build humanly impossible workflows by overlaying scalable & granular automation with proprietary algorithms and rich contextual data. The decisions are streamed in real time directly to airline systems. Current applications built on our platform allow airlines to offer every possible travel product through their network, providing travelers with more travel options in thousands routes around the world. And we are building more!


The Position

This team is responsible for building and maintaining scalable and reliable decision systems for airline commercial problems. Made up of several sub-components tied together by orchestration, these multi-step decision systems have continuously evolving algorithms, processing large volumes of data at scale making millions of decisions along the way. The decisions are streamed directly into airline systems. We are looking for future engineering leaders with customer first mindset and ability to collaborate with: business teams, data vendors, customers.

In this role, you’ll:
->Write clean, secure, tested, and documented code.
->Be an active participant in our systems design and review processes.
->Scope out, participate in, and lead cross-functional projects.
->Develop our team through mentorship and knowledge sharing.
->Influence the team’s roadmap based on feedback from our internal customers.
->Write technical documentation, contribute to determining internal processes.
->Contribute to recruiting of new backend employees.


Who you are:
->You have 5+ years of experience working in highly scalable distributed systems.
->You thrive in less structured, ambiguous  environments.
->You are data driven, adept at independent decision making.
->You draw motivation from building systems that help others be more productive.
->You are curious and driven to understand the needs of your customers.
->You are an engaged and thoughtful collaborator, ready to solve challenging problems with your peers and our customers.
->Simplicity and approachability are top of mind concerns when designing systems and tooling.
->Quality and reliability are key pillars in your software engineering philosophy. 
->You see mentorship and knowledge transfer as essential prerequisites for a healthy team.
->Good communication skills, good leadership skills, attention to detail, a sound understanding of algorithms, and object-oriented programming.



$140,000 - $200,000 a year
Longtail Technologies is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Longtail Technologies considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Longtail Technologies is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation made due to a disability, please let your recruiter know.


Longtail Technologies is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in Palo Alto, California, the estimated base salary range for this role is $140,000 - $200,000 per year. 
Full-time
Mid Level
Senior Software Security Engineer, Team Lead
San Francisco, CA
Anthropic’s security & compliance teams are responsible for changing systems that ensure security and compliance of AI models are met by performing security assessments, creating security infrastructure, creating secure-by-default systems, applying principle-of-least-privilege, and operationalizing policies. This is a new team and, as such, the candidate will have the opportunity share the future of AI safe security systems, both in a new field and in a new team.

About Anthropic
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.

Responsibilities:

    • Partner with software engineers and researchers to implement a vision for a Secure Development Environment
    • Design and implement controls to secure a primarily open source software supply chain
    • Design and test software security architecture recommendations for existing and future systems
    • Perform internal penetration testing
    • Manage software vulnerability remediation program

You may be a good fit if you:

    • Have experience building internal security tooling
    • Have experience designing control and sandboxing systems for AI research
    • Are fluent in at least one programming language, with preference for Rust, Python, or Javascript/Typescript
    • Have experience maintaining and/or contributing to bug bounty and responsible disclosure programs
    • Have experience training developers in software security topics

Strong candidates may also :

    • Have experience supporting fast-paced startup engineering teams
    • Care about AI safety risk scenarios

Candidates need not have:

    • 100% of the skills needed to perform the job
    • Formal certifications or education credentials
    • Machine learning experience or knowledge

Annual Salary (USD)

    • The expected salary range for this position is $300k - $520k.
Logistics
Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.


Come work with us!
Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Full-time
Senior
Security & Privacy Engineering, Technical Lead
San Francisco, CA or London, UK
We are looking for someone who understands how to develop infrastructure and engineering for privacy and compliance controls while minimizing friction for staff, particularly our engineers and product team. You enjoy working cross-functionally to ensure security observability is built into systems from the start. As an experienced engineer, you know how to assess security risks, develop policies, implement controls and create automation to meet our commitments. 

As AI becomes increasingly capable, compliance needs to evolve alongside it, which is why Anthropic is launching a new security & compliance engineering team to shape the new field of AI-specific compliance. As the technical lead of this completely new team, you will help pioneer what securing AI systems looks like. This role will work on both the technical aspects of security and privacy (e.g. automating reporting and enforcement) but also building new infrastructure and finding new ways to attest to AI safety regulatory oversight.

About Anthropic
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.

Responsibilities:

    • Set the team’s technical direction to solve the organization’s most pressing security needs
    • Accelerate the development of Anthropic's security engineers through mentorship and coaching
    • Design and build security and privacy infrastructure and secure-by-default and private-by-default systems
    • Apply principle-of-least-privilege, reporting, logging, and transparency
    • Operationalize policies and continually adjust engineering based on staff feedback
    • Partner with software engineers and our Trust & Safety team to ensure regulatory compliance.
    • Perform compliance assessments and build automation to make them easier

You may be a good fit if you:

    • Have a few years of security and software engineering experience
    • Are fluent in at least one programming language, with preference for Rust, Python, or Javascript/Typescript
    • Have experience working cross-functionally to implement privacy policies
    • Enjoy pair programming (we love to pair!)

Strong candidates may also:

    • Have at least 5 years of industry experience, or 3 years of industry experience and a Masters-equivalent
    • Have experience in all three areas of security, privacy, and compliance engineering
    • Have experience supporting medium or large tech organizations
    • Care about AI safety risk scenarios

Candidates need not have:

    • 100% of the skills needed to perform the job
    • Formal certifications or education credentials

Annual Salary (USD)

    • The expected salary range for this position is $320k - 375k.
Logistics
Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

US Benefits - The following benefits are for our US-based employees:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.

UK Benefits - The following benefits are for our UK-based employees:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Private health, dental, and vision insurance for you and your dependents.
- Pension contribution (matching 4% of your salary).
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Health cash plan.
- Life insurance and income protection.
- Daily lunches and snacks in our office.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.


Come work with us!
Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Full-time
Software Engineer, Trust & Safety
San Francisco, CA or London, UK
We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a trust and safety software engineer, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies.

About Anthropic
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.

Responsibilities:

    • Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review
    • Build abuse detection mechanisms
    • Surface abuse patterns to our research teams to harden models at the training stage
    • Build multi-layered defenses for real-time improvement of safety mechanisms
    • Analyze user reports of inappropriate content or accounts and build machine learning models to detect similar instances proactively

You may be a good fit if you:

    • Bachelor’s degree in Computer Science, Software Engineering or comparable experience
    • 2-3 years of experience in a data analyst, data scientist, or software engineering position, preferably with a focus on security, spam, fraud, or abuse detection.
    • Proficiency in SQL, Python, and data analysis/data mining tools.
    • Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

Strong candidates may also:

    • Have experience building trust and safety mechanisms for AI/ML systems, such as fraud detection models or security monitoring tools
    • Have experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch
    • Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs
    • Have worked closely with operational teams to build custom internal tooling
    • Have experience with full stack engineering to build internal tooling

Annual Salary

    • The expected salary range for this position is $300k - $450k USD.
Hybrid policy & US visa sponsorship: Currently, we expect all staff to be in our office at least 25% of the time. We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

US Benefits - The following benefits are for our US-based employees:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.

UK Benefits - The following benefits are for our UK-based employees:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Private health, dental, and vision insurance for you and your dependents.
- Pension contribution (matching 4% of your salary).
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Health cash plan.
- Life insurance and income protection.
- Daily lunches and snacks in our office.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.


Come work with us!
Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Full-time
Mid Level
Software Engineer (Search)
San Francisco, CA
Perplexity AI is looking for an experienced Backend Engineer to join our team and help us develop and deploy efficient and powerful search and ranking systems. You will be responsible for developing performant backend retrieval systems while working with machine learning and language models. If you have experience working on search and ranking problems and looking to push the limits, this is a perfect opportunity to apply those skills to a next generation product.

Responsibilities:

    • Implement and optimize search and retrieval systems
    • Scale architectures while optimizing performance and accuracy
    • Improve performance over time while working closely with data and machine learning models

Requirements:

    • Strong programming skills, with versatility across the backend stack
    • Track record of working with search and ranking problems
    • Enthusiasm and independence, with a willingness to take ownership of tasks
    • A passion for solving challenging problems
    • 4+ years industry experience
$160,000 - $220,000 a year

Compensation and Benefits

Perplexity AI’s compensation package consists of: salary, equity, and benefits. 
- The expected salary range for this position is $160K-$220K
- Equity - On top of this position's salary, equity will be a component of the total compensation. 
- Benefits - Comprehensive health, dental, and vision insurance for you and your dependents.
- 401(k) 
- Generous home-office stipend
About Perplexity AI


Perplexity AI is on a mission to revolutionize the way people search and interact with the internet. We are creating a powerful conversational interface that harnesses the power of large language models to deliver more accurate and intuitive search results. Join us and help shape the future of search and AI technology.
Full-time
Mid Level
Data Engineer
New York , NY

 Seek AI is hiring a data engineer to help us become the leading next generation of data analysis software. We are a well-funded startup backed by top-tier VCs that is growing rapidly. Our company is headquartered in NYC and we meet once per week to co-work in person. We also work remotely with folks outside of NYC.
 
The ideal candidate for this role will perform the following responsibilities:
·      Collaborate with cross-functional teams to understand data requirements and design solutions to collect, store, and process data efficiently and securely.
·      Develop and maintain ELT infrastructure to ensure data is readily available and easily accessible throughout the company.
·      Partner with Seek’s ML team to bolster data pipelines for ML models.
·      Optimize and improve data processing and streaming solutions using tools such as Hadoop, Spark, and Kafka.
·      Write and maintain complex SQL queries and dbt transformations to support data analysis and reporting needs.
·      Ensure data quality, integrity, and compliance with relevant data regulations and best practices.
·      Participate in Agile/Scrum development processes and contribute to continuous improvement of data engineering practices.
·      Communicate effectively with diverse teams to understand requirements, provide updates, and obtain feedback on data solutions.

Required Experience:
- At least 3+ years experience as a Software Engineer, Data Engineer or Data Analyst
- Strong working knowledge of SQL and the ability to write, debug, and optimize SQL queries
- Programming experience in Python or another modern programming languages
- Production experience in one or more core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks
- Experience designing and developing customer data pipelines for data extraction using Python, and SQL is highly preferred

Any of the following experience is a plus:
- Production experience in core data platforms: Snowflake, Databricks, AWS, Azure, GCP, Hadoop
- Cloud and Distributed Data Storage (S3, ElasticSearch/Solr, or other NoSQL storage systems)
- Data integration technologies: Spark, Kafka, AWS Data Migration Services, Azure DataFactory, Google DataProc
- Multiple data sources (e.g. queues, relational databases, files, search, API)
- Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment
- Automated data transformation and data curation: dbt, spark, spark streaming, automated pipelines
- Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi
 
What You Can Expect:
 
Career Growth
Our advisors are some of the most successful entrepreneurs in NYC and the Silicon Valley and they meet with us regularly to provide mentorship and connections as we grow Seek. As an early team member of Seek, you will have the opportunity to shape and scale a business pushing the envelope of NLP and building world-changing technology.
 
Healthy Company Culture
We're a results-driven organization. We don't care where you work or how many hours you put in as long as you get things done.
 
Benefits
Health, vision and dental insurance
Take vacations, sick days and mental health days when you need them--it's that simple
 
$120,000 - $150,000 a year
The annual base salary for this position is anticipated to be $120K ~ $150K based for the Greater New York area. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, and abilities. Our compensation package also includes equity.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status.
Full-time
Mid Level
Senior Full Stack Engineer
New York, New York
As one of the founding engineers at Slang, you will work closely with the CEO and CTO on projects that drive our success. High impact is a trope in tech, but it's definitely true here. Everything you build will touch our existing and incoming customers and propel sales into the stratosphere. If you enjoy feeling the direct impact of your work on users, as opposed to the faceless masses (which is cool too we're former big tech ppl so not judging), this might be your ticket to the moon. You will touch our existing full-stack kotlin MPP application, our backend systems that handle the voice/ai heavy-lifting and new things we haven't even thought of yet (well, yes there's a roadmap too).

Qualifications

    • 6+ years of experience in a professional software engineering setting building production quality applications
    • Facility with static typing — type systems with generics are a huge +
    • Familiarity with hybrid functional/OOP programming
    • At least a little experience with Java (don't need to be an expert but Java comes up in libraries we use and kotlin is JVM after all)
    • SQL/NoSQL are NBD for you
    • React or similar tooling
    • Expertise in AWS/GCP/Azure (we are on GCP)
    • Strong grasp of microservices and stateless application paradigms in cloud computing environments
    • Laughs in distributed systems

Bonus Points

    • Kotlin/Scala
    • ML/AI systems and infrastructure
    • Enough Kubernetes to know the pain points
    • Advanced degree with a focus in NLP
    • (This one is a super not necessary, but hey, we can dream) Advanced degree with a focus in NLP
Benefits
Competitive pay
Generous equity
Healthcare fully compensated
Generous vacation
Conference and education reimbursement, and (optional) career coaching
Quarterly offsites
$500 At-home office reimbursement

Our Vision
Calling a business shouldn’t feel like a robot-hostage situation, where you’re forced to listen to horrible music and can't reach a human, while enduring a soulless voice uttering "I'm sorry I didn't quite get that" on repeat for eternity. (shudder) That’s why we started Slang.aiWe use the latest AI and audio wizardry to make transacting via voice so enjoyable it’s more human than human. By 2030, we will save businesses and consumers 1 billion minutes of precious time while transforming voice channels into the preferred mode of communication (it's faster and easier than text).

We have backgrounds building product at companies like Spotify, Buzzfeed, the New York Times, and OpenTable —shipping experiences that have reached hundreds of millions of users. Now, we’re using our backgrounds to start a new culture, one that puts product and human-centered design above all else while fostering constant learning and growth. Sound like something you’d like to be part of? Get on board.

Our Values 
Build for better. If it doesn't make life better, we don't build it. We're obsessed with the experience of not just our end-users and their customers, but also our employees and anyone affected by what we create.

Collaborate playfully. You won't find any downers here. We don’t have a tiny violin. We're all on the same team, and we act like it. We support each other, joke around (appropriately), and keep our egos in low orbit. We dance when the music isn't playing and invite others to join. 

Keep growing. Growth requires an environment that encourages it and people who crave it. We lay the groundwork for both. By welcoming diverse perspectives that challenge our own thinking, we can amplify our individual and collective potential.

Give a sh*t. Everyone is an owner. We dive into any problem head-first and keep ourselves and others accountable. Why? Because we care about doing right by our end users, our customers, and all other stakeholders.

Make lightspeed look good. Moving fast allows us to better serve our customers and outrun the competition. Sometimes we drop the baton, but instead of getting upset about it, we learn and adapt. And even as we rocket ahead, we don’t sacrifice quality or settle for crappy code or poor design.
Full-time
Senior
Software Engineer Machine Learning & Apache Spark (gn)
EMEA - Remote
At Actian we provide software solutions to seamlessly manage and connect our customers’ operational and analytic data for superior performance, insights, and business outcomes. Our company is headquartered in Palo Alto, CA and has offices worldwide. We offer a position as Software Engineer Machine Learning & Apache Spark (gn) with the opportunity to work on a cutting-edge data processing system. We are looking for team players that can work independently in a distributed team. Our focus is on high performance implementations; following an initial training period, this position demands personal knowledge, experience, and judgement to accomplish.

You will be part of our ActianX/Vector team, working with state-of-the-art technologies to create new tools and components that allow users to train, manage, and deploy Machine Learning models inside our Actian Data Platform. Your responsibilities will cover design and implementation challenges of team and individual projects. You will be responsible for driving and successfully completing and later maintaining your supervised projects.

KEY RESPONSIBILITIES

    • Design, implement and supervise new features as well as enhancements for the execution of Machine Learning pipelines in a database environment
    • Develop and evaluate ML platform deployments
    • Create tests for and maintain the implemented functionality in our continuous integration management system
    • Collaborate in a small team of engineers and researchers to build the future data processing platform
    • Work with other teams to ensure production-level quality and support
    • Cooperation with partners and customers on product development and maintenance ESSENTIAL QUALIFICATIONS
    • Strong knowledge of Apache Spark’s internal architecture
    • In-depth experience with standard Machine Learning libraries (e.g., Spark MLlib, TensorFlow, PyTorch) as well as MLOps practices and tools
    • Highly proficient programming skills (Scala and Java)
    • Good knowledge of database concepts and technology, including a working knowledge of SQL
    • Master’s Degree in computer science or equivalent
    • 2+ years of experiences in software development, e.g., during advanced academic studies or in a commercial setting

ESSENTIAL QUALIFICATIONS

    • Strong knowledge of Apache Spark’s internal architecture
    • In-depth experience with standard Machine Learning libraries (e.g., Spark MLlib, TensorFlow, PyTorch) as well as MLOps practices and tools
    • Highly proficient programming skills (Scala and Java)
    • Good knowledge of database concepts and technology, including a working knowledge of SQL
    • Master’s Degree in computer science or equivalent
    • 2+ years of experiences in software development, e.g., during advanced academic studies or in a commercial setting

DESIRED SKILLS

    • Knowledge in C and some scripting languages, e.g., bash or Python
    • Good knowledge of Linux, MacOS or Windows operating systems
    • Creativity and team spirit

WHAT WE OFFER

    • Attractive salary and bonus
    • Flexible working hours
    • Full remote working option
    • Family working atmosphere in a talented team
    • Personal development
We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
Full-time
Mid Level
Associate Data Scientist Co-op 2023 (Sep-Dec)
Mississauga, Ontario
For more than 20 years, PointClickCare has been the backbone of senior care. We’ve amassed the richest senior care dataset making our market density untouchable and our connections to the healthcare ecosystem exponentially more powerful than those of any other platform. 

With Collective Medical & Audacious Inquiry, we’ve become the most expansive, full-continuum care collaboration network, offering care teams immediate, point-of-care access to deep, real-time insights at every stage of a patient’s journey.


Reporting to the Manager, Data Science, the Associate Data Scientist will be responsible for understanding, interpreting, manipulating, grouping and correlating our data with the goal of turning our vast amounts of clinical data into meaningful insights for PointClickCare internally and for existing and new customer bases externally

Key Responsibilities:

    • Analyzing and understanding PointClickCare's data thoroughly.
    • Developing a full understanding of our customers' challenges and need for data, in addition to our own internal needs.
    • Making recommendations in defining our technical approach and participating in the implementation of a full business analytics platform.
    • Gathering, examining and analyzing large sets of data.
    • Developing segmentation, outcome modeling, experimental design and decision analysis.
    • Developing predictive analytics and visualization tools to continually deliver new insights and analytics products to our customers.
    • Analyzing and evaluating model performance definitions, sampling approaches and segmentation alternatives.
    • Translating business needs into data models and predictive analytics.
    • Educating and mentoring development on data modeling conventions and best practices, leveraging database, big data and predictive analytics experience.
    • Building learning algorithms to analyze data.
    • Developing predictive analytics and visualization tools to continually deliver new insights and analytics products to our customers.
    • Identifying new opportunities for additional products and services.

Experience Required:

    • Master’s Mathematics, Engineering, Statistics, Economics and 1-3 years of related work experience or equivalent combination of education and experience.
    • Coursework or practical experience with data mining and building algorithms.
    • 1-3 years of experience in the evaluation of data/data sets work products involving data analysis and research.
    • Proficient computer skills including use of Microsoft Office products or equivalent software and the ability to learn corporate software programs.
    • Basic analytical, data mining, data modeling and data management skills, and ability to utilize data to drive strategic business directions.
    • Demonstrate ability to apply quantitative analysis techniques to business situations including forecasting, descriptive statistics, statistical inference, and multivariate modeling techniques.
    • Develop understanding of business processes, goals and strategy in order to provide analysis and interpretation to management.
    • Practical ability to visualize data, communicates effectively about data, and utilizes data effectively.
    • Proficient with a range of business intelligence and analysis tools SAS, SQL Server Reporting Services, SPSS, R, Microstrategy, or Tableau.
    • Good knowledge of SQL.
    • Statistical programming experience (SAS, R, Python) preferred.
    • Strong problem solving and logical skills.
    • Ability to think creatively and to work well both as part of a team and as an individual contributor.
    • Demonstrate ability to work with minimal direction, with the ability to coordinate complex activities.
    • Meticulous attention to detail.
    • Excellent written and verbal communication skills and the ability to interact with variety of customers and stakeholders.
Working at PointClickCare goes beyond the resume, because the work we perform makes a true difference in people’s lives. We build innovative healthcare technology for seniors and their caregivers that improve their quality of life and wellbeing on a daily basis. We believe work is so much more meaningful when you’re doing it with a higher purpose. For more information on PointClickCare, please visit us on Glassdoor and LinkedIn.

It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations.

When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com 

PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
Internship
Principal Technical Data Scientist
Mountain View, United States
Working at Atlassian

Atlassians have flexibility in where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Your future team
We're looking for a Data leader with business instincts and analytics mastery that has led projects improving data science efficiency. You are someone that is passionate about applying these skills to increase data quality, reduce the need for data scientists to perform data engineering tasks and love working across the organization to create the proper data layer to increase data science productivity.
You will be reporting to our Head of Experimentation.

What you'll do

    • Draw on your expertise in understanding software development lifecycle and developer productivity to think about what are data and insights features that we should ship to our internal data science customers to influence the way they work.
    • Partner with the data engineering and platform teams to Identify and support a short, medium and long-term portfolio of projects that improves data assets used across data science.
    • Envision, scope, and lead projects by collaborating with partners, software and data engineering leaders, and data scientists.
    • Guide the creation of tools that allow a centralized data framework that improves the efficiency, quality and capabilities of all data analysts and scientists.
    • Oversee business case development, data requirement gathering (including metrics and definitions), establishing acceptance criteria, QAing, and testing for new transformational data products from start to finish to ensure everything is implemented and validated.
    • Work across marketing and product to develop monitoring and action plans across the data quality lifecycle (instrumentation → transformation → data/metrics/segments)
    • Lead, coach, and build solutions from within a center of excellence.
    • Collaborate with the Business Intelligence team to define and achieve standard segment and metric definitions and governance.
    • Contribute into overall Data Science team OKRs.
    • Be part of building an outstanding analytics culture at Atlassian. Leading by example, through education and creation of self-service tools, to make a lasting change in how data is used to make decisions.
    • Guide demo sessions and education roll out for new data products and features to ensure adoption and usage.

Your background

    • 10+ years of experience with a combination of data science, analytics and data engineering experience.
    • Experience working with software and data engineering teams, an understanding of the software development. lifecycle, what drives software team to succeed and exposure to typical software engineering tools (e.g. Jira, SCM, CI/CD systems).
    • Expertise in data modeling, (e.g. SQL, Python), knowledge of cloud data environments (e.g. AWS), and experience with DBT, data ETLs, and UAT processes.
    • An Agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing "having something now" vs. "perfection in the future".
    • Experience applying your analytics skills to identify and lead projects that have had impact on strategic and product roadmap decisions
    • A very high bar for output quality; with experience coaching teams to balance thoughtfulness, perfection and speed.
    • Experience in at least one visualization tool (e.g. Tableau, R-Shiny, dash, Microstrategy)
    • Comfort explaining complex concepts to diverse audiences (such as Product Managers, Designers, Engineers), and creating compelling stories.
    • Project management and prioritization experience; preferably with Data Engineering, Product Management, and Software Engineering teams.
Compensation
At Atlassian, we tie our base pay ranges to role and level. In the United States, that means your base pay ranges will fall into one of three geographic pay zones depending on your location. Our current base pay ranges for new hires in each zone are:
Zone A: $186,000 - $285,000
Zone B: $167,000 - $257,000
Zone C: $154,000 - $237,000
Within each range, base pay is determined based on your skills and experience. This role may also be eligible for benefits, bonuses, commissions, and/or equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
#LI-Remote

Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.
Full-time
Senior
Data Scientist III, User Safety
New York, New York, US
Hinge is seeking a versatile data scientist to work on product development initiatives within our Trust, Safety, and Support (TSS) team. From assessing opportunities and results through analytical techniques to developing and conducting A/B tests to applying data mining techniques to uncover important trends, you will take on a central and multi-faceted role in the product development process. As a result, your work will strongly impact the solutions we leverage to keep our users safe.

Responsibilities:

    • Collaborate with a cross-functional team of product managers, researchers, and engineers to develop and iterate on product features
    • Translate product objectives to data science problems and vice versa
    • Apply statistical inference to draw rigorous conclusions from data, especially through designing and analyzing A/B tests
    • Use a combination of exploratory analysis and data mining techniques to generate actionable insights towards keeping our users physically and psychologically safe
    • Assist in the identification and prioritization of projects aimed at reducing harm on Hinge
    • Contribute to a culture of empathy and technical excellence

What We're Looking For:

    • 2+ years of experience as data scientist
    • 1+ years of experience in product analytics (A/B testing)
    • Strong knowledge of statistics and A/B testing
    • Experience with machine learning
    • Strong working knowledge of SQL and Python
    • Exposure to engineering best practicesSuperb communication skills
    • Ability to balance rigor with practicality
    • Deep sense of intellectual curiosity
$143,000 - $172,000 a year
The salary range for this position is $143,000 - $172,000. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.
Our Company:
Hinge is the dating app designed to be deleted. In today’s digital world, singles are so focused on sending likes and looking through profiles that they’re not actually building meaningful connections and finding relationships. Hinge is on a mission to change that by designing the most effective app experience. On Hinge, there are no rules, timers, or games. Instead, you’ll have unique conversations over the text, photos, and audio you’ve shared on your profile. And it’s resonating with daters. Currently we’re setting up a date every three seconds.

Our Culture:
- Authenticity: Share your genuine thoughts and opinions directly. 
- Courage: Invite and deeply consider challenges and criticism.
- Empathy: Be empathetic, communitarian and trustworthy. 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Full-time
Mid Level
Senior Machine Learning Engineer- Price Freeze (100% remote)
Chicago
About the job

In this role you will be part of a cross-functional team of product managers, designers, and engineers in the creation of data-driven Fintech products that make travel planning easier and deliver them to millions of users.

This role has a tremendous impact on the vision and success of the company. It's a unique opportunity to join one of the most innovative teams, get access to fascinating and massive data sets with market and behavioral data, a huge personal growth trajectory, and a high potential upside of pre-IPO stock options.

We are looking for someone who has a real bias for action, takes ownership, thrives on autonomy and delivers results. A smart creative with a proven record of solving hard problems and deep understanding of data, product and business.

An Ideal candidate has:

    • Coding abilities with languages like Python, SQL, etc.
    • Strong problem-solving skills, and critical thinking competencies
    • Statistics Commercial Awareness (works backwards from making money to the business)
    • Industry experience (e.g. Booking, Uber, Lyft, google, Facebook, Zillow etc)
    • Has deployed ML algorithms into production using latest technologies (i.e. Docker, Kubernetes, etc)
    • Has a proven track record of solving complex problems with in depth understanding of data, product and business impact
    • Has experience with data visualization tools (Tableau, Amplitude, Big Query)

Perks of working with us:

    • Well-funded and proven startup with large ambitions, competitive salary and stock options
    • Unlimited PTO
    • WeWork All Access Pass OR Work-from-home stipend
    • Entrepreneurial culture where pushing limits and taking risks is everyday business
    • Open communication with management and company leadership
    • Small, dynamic teams = massive impact
    • 100% employer paid medical, dental, vision, disability and life insurance plans
    • Access to a 401k
MORE ABOUT HOPPER

At Hopper, we are on a mission to become the world’s best — and most fun — place to book travel. By leveraging massive amounts of data, advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to help customers spend less and travel better. Ranked the third largest online travel agency in North America, the app has been downloaded nearly 80 million times and continues to gain market share globally.

Here are just a few stats that demonstrate the company’s recent growth:

- Hopper sold around $4 billion in travel and travel fintech in 2022, up nearly 3X over 2021. In 2022, Hopper increased its revenue 2.5X year-over year.

- The company’s bespoke fintech products, such as Flight Disruption Guarantee and Price Freeze, now represent 30-40% of Hopper’s total app revenue. 

- Given the success of its fintech products, Hopper launched a B2B initiative called Hopper Cloud in late 2021. Through this partnership program, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory. As its first Hopper Cloud partnership,

- Hopper partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders.

- Recognized as one of the world’s most innovative companies by Fast Company four years in a row, Hopper has been downloaded over 80 million times and continues to have millions of new installs each month. 

- Hopper has raised over $700 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. Hopper is primed to continue its acceleration as the world’s fastest-growing mobile-first travel marketplace. 

Come take off with us!
Full-time
Senior
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Research Engineer
San Francisco, CA or London, UK
You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important.

Note: This is an "evergreen" role that we keep open on an ongoing basis. We receive many applications for this position, and you may not hear back from us directly if we do not currently have an open role on any of our teams that matches your skills and experience. We encourage you to apply despite this, as we are continually evaluating for top talent to join our team. You are also welcome to reapply as you gain more experience, but we suggest only reapplying once per year.

About Anthropic
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.

You may be a good fit if you:

    • Have significant software engineering experience
    • Are results-oriented, with a bias towards flexibility and impact
    • Pick up slack, even if it goes outside your job description
    • Enjoy pair programming (we love to pair!)
    • Want to learn more about machine learning research
    • Care about the societal impacts of your work

Strong candidates may also have experience with:

    • High performance, large-scale ML systems
    • GPUs, Kubernetes, Pytorch, or OS internals
    • Language modeling with transformers
    • Reinforcement learning
    • Large-scale ETL

Representative projects:

    • Optimizing the throughput of a new attention mechanism
    • Comparing the compute efficiency of two Transformer variants
    • Making a Wikipedia dataset in a format models can easily consume
    • Scaling a distributed training job to thousands of GPUs
    • Writing a design doc for fault tolerance strategies
    • Creating an interactive visualization of attention between tokens in a language model

Annual Salary:

    • The expected salary range for this position is $280k - $520k USD.
Logistics
Location-based hybrid policy:  Currently, we expect all staff to be in our office at least 25% of the time.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

LinkedIn tracking: #LI-DNI

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

US Benefits - The following benefits are for our US-based employees:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.

UK Benefits - The following benefits are for our UK-based employees:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Private health, dental, and vision insurance for you and your dependents.
- Pension contribution (matching 4% of your salary).
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Health cash plan.
- Life insurance and income protection.
- Daily lunches and snacks in our office.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!
Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Full-time
Mid Level
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Ml/Research Engineer (Large Language Models)
Palo Alto, CA
About Moonhub

We're on a mission to enable human potential.

Moonhub is building the world's first AI recruiter. We believe talent and skills are universal, but the systems to identify them aren't. Moonhub solves this critical problem with the world's first conversational AI recruiter trained on billions of people datapoints to help hiring managers and organizations take control of the hiring process, working with an AI to find and retain the best talent for their teams at a fraction of the cost.

Core to our solution are large language models and conversational AI features that power our AI recruiter. Our team consists of ex Stanford Computer Science PhDs and MBAs, highly cited NLP researchers on ground-breaking papers like Bloom / Superglue / etc, papers, ex Twitter Cortex and Meta ML leads and more world-class AI and HR experts.

We are building the future of equitable opportunity. In line with this, we believe in a diverse and inclusive team where everyone is welcome. 

Your Role

This is a fast-paced role with extensive growth potential for a world-class machine learning engineer with extensive experience working with large language models. You will be on the core ML/ engineering team and work closely with our leadership, partners, and customers to build tools powered by LLMs used by people to atuomate recruiting. We are a company driven by our positive mission and social impact.

We are looking for individuals with deep ML experience, especially large language models, including but not limited to building production ML data pipelines, training large-scale NLP models, creating search and ranking systems, and more.

As a Founding ML Engineer you will develop state-of-the-art technologies that enable better and faster hiring for impactful institutions.

Moonhub is a remote / hybrid company with a strong emphasis on engineering and product at the heart of teams.

What You’ll Do

- Develop production ML/NLP systems powered by large language models
- Rapidly experiment with and iterate on LLM powered features with in-house recruiters
- Build new ML tools from 0 > 1 inside our existing platforms
- Work closely with leadership and customers to understand large-scale recruiting and HR pain points, and develop state-of-art machine learning solutions for them. 
- Write production ready code with speed, cost, and usability in mind
- Contribute to building a culture where everyone is an owner. We ship fast and build trust as a team. 
- Help lead Moonhub’s charge to be at the cutting-edge of technology through publications and patents. 

Skills & Qualifications 

- Experience with prompt engineering and large language models
- 4+ years of experience building production ML (and NLP) systems
- 2+ years of experience working directly with large language models
- Strong background in programming languages such as Python and C++
- Deep knowledge of machine learning frameworks such as Tensorflow and Pytorch
- Entrepreneurial spirit and willingness to adjust to dynamic customer needs 
- Desire to grow quickly by going above and beyond expectations 

US Applicants

- The minimum and maximum salary for this position is $120,000 to $200,000 in the US;
- This position is eligible for significant equity

Moonhub is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. 
Full-time
Mid Level
Natural Language Processing
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VP of Artificial Intelligence
New York, New York, US
Hinge is looking for a passionate Vice President of Artificial Intelligence (AI) to provide strategic and operational leadership to Hinge’s AI initiatives as we are embarking on a mission to become an AI-First company. Reporting to our Chief Technology Officer, you will lead a dedicated team of Data Scientists and Machine Learning Engineers to develop a self-service AI platform, and cutting-edge AI models and tools.

In this role, you will work closely with the Engineering, Data, Product and other teams to lay the foundation of AI at Hinge to power user safety, bad actors/algorithms, recommendation engine, AI-generated interactions, etc. We are looking for someone with extensive experience in building AI teams and platforms, and a passion for solving some of the most complex and important problems related to dating.

Responsibilities

    • Team Leadership and Development: Build, manage, and mentor a world-class team of Data Scientists and Machine Learning Engineers, fostering a collaborative and inclusive work environment.
    • Self-Service AI Platform: Oversee the development and maintenance of a self-service AI platform that enables the rapid creation, testing, and deployment of machine learning models. The platform should be self-serving, scalable and developed with bias mitigation in mind.
    • AI Model Development: Lead the development and deployment of advanced AI models to enhance user experience, safety, and outcomes across the entire product funnel. This includes ideation, model development, validation, and implementation.
    • AI Ethics: Champion ethical AI practices within the organization, ensuring models are designed, implemented, and used in a fair, transparent, and accountable manner. Lead discussions and actions around data privacy, algorithmic bias, transparency, and other AI ethics-related topics.
    • Operational Efficiency: Implement AI tools to optimize operational efficiency across the organization, working closely with cross-functional teams to understand their needs and develop AI solutions that drive improvement. Foster a data-driven culture within the organization, promoting the use of AI in decision-making processes.
    • Strategic Planning: Collaborate with the tech leadership and the executive team to define the company’s AI strategy and goals, ensuring alignment with the broader business objectives.
    • Innovation: Keep abreast of the latest AI trends, AI Platforms, applications, and best practices, and advise on potential adoption to drive competitive advantage

What We’re Looking For

    • Master's degree in Computer Science, AI, Data Science, or a related field. A PhD would be considered a plus.
    • Proven experience in a similar leadership role, preferably in a product-led tech company.
    • Strong track record of building, managing, and developing high-performing teams.
    • Demonstrated experience in designing, implementing, and maintaining AI models and platforms.
    • Expert in modern AI technologies (including generative AI), machine learning models, data analytics, and the underlying infrastructure & engineering to reliably deploy these models at scale.
    • Expert in MLOps and building reliable/high availability AI/ML systems.
    • Ability to communicate complex data insights in a clear and actionable way to non-technical stakeholders.
    • Highly motivated, proactive and collaborative team player with the ability to persuade others and influence outcomes.
$332,000 - $398,000 a year
Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.
Our Company:
Hinge is the dating app designed to be deleted. In today’s digital world, singles are so focused on sending likes and looking through profiles that they’re not actually building meaningful connections and finding relationships. Hinge is on a mission to change that by designing the most effective app experience. On Hinge, there are no rules, timers, or games. Instead, you’ll have unique conversations over the text, photos, and audio you’ve shared on your profile. And it’s resonating with daters. Currently we’re setting up a date every three seconds.

Our Culture:
- Authenticity: Share your genuine thoughts and opinions directly. 
- Courage: Invite and deeply consider challenges and criticism.
- Empathy: Be empathetic, communitarian and trustworthy. 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Full-time
Senior
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Principal Machine Learning Scientist
San Francisco, United States
Working at Atlassian

Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or from an office (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Atlassian is looking for a remote Principal Machine Learning Scientist to join our Core Machine Learning team. The Core Machine Learning team builds and deploys ML modeling solutions to increase revenue generation, expand our active user base and enhance internal productivity and efficiency. This is a unique opportunity to work in a collaborative environment and implement the latest machine learning techniques, including LLM (large language models).
Your future team
The Core Machine Learning team sits within the Data Science group in the Atlassian Corporate Engineering Organization. We work with several business teams in GTM, growth, product, and many other teams providing machine learning infrastructure and modeling applications. Our team consists of ML scientists and engineers, and provides many opportunities for collaboration, knowledge sharing, and individual growth. The team is split geographically between the US and Australia, supporting partners across the regions.
You will report to the Core Machine Learning Senior Manager.

What you'll do

    • As a Principal Machine Learning Scientist, you will lead the development of advanced machine learning algorithms, collaborating with business partners, engineering, and analytics teams to personalize the customer buyer journey across several touch points which include paid ads, SEO content, web pages and in-product experiences.
    • You will lead Generative AI projects aimed at improving customer conversion funnels, streamlining content and creative creation processes, and developing self-serve tooling to empower Atlassian with valuable data insights.
    • Explain data science concepts to non-technical, diverse audiences and create a compelling story.
    • Be a tech lead for more junior Machine Learning Scientists, providing technical guidance.

Your background

    • Master and above degree in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
    • 5+ years of related industry experience in the machine learning domain
    • Expertise in Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
    • Experience building and scaling machine learning models in business applications using large amounts of data
    • Experience building NLP related applications
    • Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"
    • Agile development mindset, appreciating the benefit of constant iteration and improvement
Compensation
At Atlassian, we tie our base pay ranges to role and level. In the United States, that means your base pay ranges will fall into one of three geographic pay zones depending on your location. Our current base pay ranges for new hires in each zone are:
Zone A: $212,000 - $325,000
Zone B: $191,000 - $292,000
Zone C: $171,000 - $270,000
Within each range, base pay is determined based on your skills and experience. This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
#LI-Remote

Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.
Full-time
Senior
Generative Models
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Data Scientist
Remote, US
Encoura is seeking a Data Scientist to assist our ongoing efforts to deliver the best possible solutions to both students and higher education institutions. Our products help students through one of the most challenging aspects of their educational life while also helping colleges provide the most impactful opportunities to students. We are looking for a Data Scientist who can bring passion to that work and help us get closer to fulfilling the mission we work towards every day.   

As a member of the Data Science team you will collaborate across the business – Product, Engineering, IT, Business Leaders – to create new data driven products while continuing to refine current ones. A strong knowledge of statistics, machine learning, and programming will allow you to not only design solutions, but test and implement them.  

We work mostly with Python and SQL while leveraging other tools such as Databricks, Domino Data Labs, AWS, and Tableau where it is practical. 

A day in the life of a Data Scientist

    • Collaborating with others to design and create new products and solutions using Data Science techniques. 
    • Designing and performing tests with the aim of creating new products or making our current products better. 
    • Developing predictive models, analytic reports, and interrogating data. 
    • Interfacing with members of our Product, Sales, and Services teams to ensure customer success with our products. 
    • Managing existing products to ensure our solutions are working as intended. 

Role Progression

    • Within 1 month, you’ll: Learn the ropes, start to understand our data and products, and be familiar with our existing data science tools and solutions. 
    • Within 3 months, you’ll: Start handling critical responsibilities for our existing data science products, interfacing with our data and services team. 
    • Within 6 months, you’ll: Start contributing to new improvements or ideas to make our products or take our developing products to the next level. 
    • Within 1 year, you’ll:Be making significant contributions to our team and organization by improving existing products and innovating new ones. 

About You

    • Master’s degree in Statistics, Analytics, Computer Science or equivalent, or a Bachelor’s degree with at least 3 years of professional experience. 
    • You have a solid understanding of how to manage the life cycle of data science solutions – from ideation to production. 
    • Strong skills with common ML/Statistics libraries in Python – Scikit Learn, Keras/Tensorflow or PyTorch, Numpy, Scipy, Pandas, PySpark. 
    • Advanced ability to perform Exploratory Data Analysis 
    • The ability to collect and manipulate data for analysis. This includes querying SQL databases, working with raw text data, designing data pipelines, and working with AWS technologies such as S3 and Athena. 
    • You have a “life long learner” mentality 
    • Experience in solving problems in Education or Career Planning a plus. 

What Sets Us Apart

    • Mission driven culture 
    • Comprehensive health and benefits package 
    • 401k company match that vests immediately upon participation 
    • Paid holidays and a generous PTO policy 
    • Paid parental leave 
About 

Encoura’s mission is to empower students and institutions to create meaningful connections so everyone can make the most informed decisions to achieve their goals. Since 1972, the company has evolved its products and services to better represent the link between students and higher education institutions and to create the highest probability of student success. 
 
With the launch of the Encoura platform in 2017, the company provides custom technology solutions that combine Eduventures research, data science, strategic enrollment, and multichannel marketing services to over 2,000 higher ed institutions. The company also offers myOptions® Encourage™—the nation’s largest free college and career planning program used by millions of high school students and educators nationwide. 
 
Encoura is an Equal Employment Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. All applicants must be eligible to work in the U.S. 
 
Encoura endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability and need an alternative method for applying, please contact the Talent Team. 

Applicants from California, please review the CA HR Privacy Notice.
To review our privacy policy, please click this link: https://encoura.org/privacy-policy/ 

Full-time
Mid Level
Data Scientist
Remote-United States
Passionate about development in leading technologies? Looking to become a major player on a diverse team in your next career adventure? Koddi Data Scientists drive innovation by embracing challenges and leveraging decision science to solve complex problems in adtech. In this position, you will be responsible for designing, building, and deploying complex systems to model and glean useful insights from billions of rows of data. You will inform decisions based on complex statistical modeling using machine learning, optimizing and forecasting algorithms powered by industry-leading technologies. 

WHAT YOU WILL DO

    • Build production grade models on large-scale datasets to optimize marketing performance by utilizing advanced statistical modeling, machine learning, and optimization and marketing science research
    • Use models to address key growth challenges and provide meaningful insights on problems such as cross-channel optimization, targeting optimization, and A/B testing
    • Provide thought leadership in applying innovative machine learning techniques to solve complex data science problems
    • Work with cross-functional teams to implement and improve data-driven solutions
    • Use large scale data processing such as Spark, Hive, and machine learning platformsCollaborate with marketing leadership, design, product and engineering teamsParticipate in project planning/prioritization meetings, partner meetings, etc

WHAT SKILLS AND EXPERIENCE YOU BRING

    • Minimum of 2 years of working experience as a data scientist with a focus on marketing analytics, machine learning, optimization, real-time bidding (RTB) and digital campaign measurement.
    • You have an advanced degree in statistics, computer science, operational research, engineering or related field. PhD preferred
    • Demonstrated expertise with Python.
    • Experience with Spark and TensorFlow.
    • Worked extensively with machine learning techniques and advanced analytics (e.g. regression, deep learning, causal inference, mathematical optimization)
    • Advanced SQL skills - comfortable working with very large data setsPreferably, you have experience with cloud environments such as AWS.
WHO WE ARE

Koddi is a global technology company with software and services that empower marketplace monetization through commerce media. Our enterprise platforms leverage first-party data to drive marketplace revenue and profit by improving user experience and target shoppers throughout the purchase path. Koddi’s platforms enable any advertiser, any marketplace, in any industry to increase awareness, generate demand, and drive revenue.

Full-time
Mid Level
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Data Scientist/Senior Data Scientist (Recommendations)
Singapore
Are you passionate about building great products? Do you want to redefine the way travellers explore the world? Keen to be part of this growth journey with a bunch of amazing people? Then Pelago is the place for you!

We are looking for ambitious and motivated talents who are excited about staying on the cutting edge of Technology and always keen on innovating new ways to drive growth and taking our startup to new heights.

WHO ARE WE? 
Pelago is a travel experiences platform created by Singapore Airlines Group. Think of us as a travel magazine that you can book - highly curated, visually inspiring, with the trust and quality of Singapore Airlines. We connect you with global, local cultures and ideas so you can expand your life.

We are a team of diverse, passionate, empowered, inclusive, authentic and open individuals who share the same values and strive towards a common goal!

WHAT CAN WE OFFER YOU?  
- A unique opportunity to take end-to-end ownership of your workstream to deliver real value to users. 
- Platforms to solve real user problems concerning travel planning & booking with innovative products/services.
- An amazing peer group to work with, and the ability to learn from the similarly great minds around you. 
- An opportunity to be an integral part of shaping the company’s growth and culture with a diverse, fun, and dynamic environment with teammates from different parts of the world.
- Competitive compensation and benefits - including work flexibility, insurance, unlimited annual leave, remote working and more!

WHAT WILL YOU DO? 
As a Data Scientist at Pelago, you will contribute to our exciting projects in the following ways:

- Build recommendation engines to improve the discovery of products on Pelago -  a marketplace for tours, attractions, activities, and experiences.
- Build, validate, test, and deploy machine learning models with millisecond latency.
- ​Review live performance and continuously improve upon the model
- Work closely with the rest of the Engineering and Product team to collaborate on new features 

WHAT EXPERTISE YOU NEED TO HAVE?
- Bachelor’s/ Master’s/ PhD in Computer Science or a related technical field, with research experience in ML/AI
- 5+ years of relevant experience building and deploying machine learning models
- Prior experience with machine learning problems in the areas of product recommendations
- High level of proficiency in Python and ability to produce production-ready code
- Strong foundations in math and statistics - including but not limited to basic machine learning algorithms - linear regression, decision trees, ensemble models, Neural networks, Embeddings
- Experience with ML frameworks such as TensorFlow, Keras, PyTorch
- Ability to query data from relational and non-relational databases using SQL
- Experience in one of the cloud services (AWS, GCP or Azure)
- Strong communication skills to make complex ML/AI concepts understandable to different streams in the team
If you’re as excited as we are in this journey, do apply directly with a copy of your full resume and portfolio (if any). We'll reach out to you as soon as we can!
Full-time
Senior
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Data Scientist/Senior Data Scientist (Risk)
Singapore
Are you passionate about building great products? Do you want to redefine the way travellers explore the world? Keen to be part of this growth journey with a bunch of amazing people? Then Pelago is the place for you!

We are looking for ambitious and motivated talents who are excited about staying on the cutting edge of Technology and always keen on innovating new ways to drive growth and taking our startup to new heights.

WHO ARE WE? 
Pelago is a travel experiences platform created by Singapore Airlines Group. Think of us as a travel magazine that you can book - highly curated, visually inspiring, with the trust and quality of Singapore Airlines. We connect you with global, local cultures and ideas so you can expand your life.

We are a team of diverse, passionate, empowered, inclusive, authentic and open individuals who share the same values and strive towards a common goal!

WHAT CAN WE OFFER YOU?  
- A unique opportunity to take end-to-end ownership of your workstream to deliver real value to users. 
- Platforms to solve real user problems concerning travel planning & booking with innovative products/services.
- An amazing peer group to work with, and the ability to learn from the similarly great minds around you. 
- An opportunity to be an integral part of shaping the company’s growth and culture with a diverse, fun, and dynamic environment with teammates from different parts of the world.
- Competitive compensation and benefits - including work flexibility, insurance, unlimited annual leave, remote working and more!

WHAT WILL YOU DO? 
As a Data Scientist at Pelago, you will contribute to our exciting projects in the following ways:

- Build models for risk mitigation including Payment risk and platform abuse
- Build, validate, test, and deploy machine learning models with millisecond latency.
- ​Review live performance and continuously improve upon the model
- Work closely with the rest of the Engineering and Product team to collaborate on new features 

WHAT EXPERTISE YOU NEED TO HAVE?
- Bachelor’s/ Master’s/ PhD in Computer Science or a related technical field, with research experience in ML/AI
- 5+ years of relevant experience building and deploying machine learning models
- Prior experience with machine learning problems in the areas of risk modelling
- High level of proficiency in Python and ability to produce production-ready code
- Strong foundations in math and statistics - including but not limited to basic machine learning algorithms - linear regression, decision trees, ensemble models, Neural networks, Embeddings
- Experience with ML frameworks such as TensorFlow, Keras, PyTorch
- Ability to query data from relational and non-relational databases using SQL
- Experience in one of the cloud services (AWS, GCP or Azure)
- Strong communication skills to make complex ML/AI concepts understandable to different streams in the team
If you’re as excited as we are in this journey, do apply directly with a copy of your full resume and portfolio (if any). We'll reach out to you as soon as we can!
Full-time
Senior
Full Stack Engineer
New York , NY
Seek AI is hiring a Full Stack Engineer / Front - End Engineer / Back- End Engineer to help us build the next generation of data analysis software. We are a well-funded startup backed by top-tier VCs that is growing rapidly, and we are looking for a talented, experienced software engineer who can shape the development of our web platform. Our company is headquartered in NYC and we meet once per week to co-work in person. We also work remotely with folks outside of NYC.

You will be helping to develop our web platform, and can expect to focus on the following goals:
- Collaborate with the product and design teams to understand project requirements and develop user-friendly, efficient, and visually appealing web applications.
- Develop, test, and maintain features across the entire technology stack, including front-end UI components, back-end services, APIs, and databases.
- Integrate AI/ML models into the web applications, working closely with the machine learning team to ensure seamless integration and smooth deployment.
- Optimize the performance and scalability of web applications, ensuring they can handle increased user traffic and demand.
- Manage cloud infrastructure and resources, including deploying, monitoring, and maintaining the applications on platforms like AWS, Azure, or Google Cloud.
- Establish and follow best practices in software development, such as code quality, testing, and version control, to ensure maintainable and reliable code.

The ideal candidate for this role should possess the following:
- Minimum of 4 years of software development experience
- Proficient in Python, Django, React, and Next.js
- Familiarity with databases (relational and/or NoSQL), such as MySQL, PostgreSQL, MongoDB, or Cassandra
- Experience with RESTful API design, implementation, and integration
- Knowledge of AI/ML concepts and experience integrating AI/ML models into applications
- Familiarity with Google Cloud or other Cloud Platforms and containerization technologies (Docker, Kubernetes)
- Previous start-up experience required

What You Can Expect:
- Career Growth
- Our advisors are some of the most successful entrepreneurs in NYC and the Silicon Valley, and meet with us regularly to provide mentorship and connections as we grow Seek.
- You will have the opportunity to shape and scale a business pushing the envelope of NLP and building world-changing technology.

Healthy Company Culture
We're a results-driven organization. We don't care where you work or how many hours you put in as long as you get things done.

Benefits
Health, vision and dental insurance
Take vacations, sick days and mental health days when you need them--it's that simple
$160,000 - $180,000 a year
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer
Full-time
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Software Engineer - Platform/Backend
San Francisco, CA or Remote
About Refuel.ai

The Mission
The next wave of ML applications (video security, conversational AI and autonomous vehicles) is going to look very different from the last one (search and recommender systems). Teams working in these domains have to deal with large streams of unstructured data (images, video, text and audio), exorbitant labeling costs, and broken feedback loops. For this next wave of ML applications, getting to production takes months and adapting to the long tail is an existential struggle. That’s what we’re solving - Refuel.ai accelerates time to production for ML applications built on top of unstructured data, and enables them to continually improve in the real world.

The team
Refuel.ai was founded in 2021 by Rishabh Bhargava and Nihit Desai. Our founders bring machine learning and product experience from the world's leading technology companies (Facebook, Instagram, Primer.ai and Cloudera) and institutions (Stanford, Cambridge and UIUC). We are backed by General Catalyst, XYZ Ventures and a host of successful and influential angel investors from places like Stanford, OpenAI, Datadog and Facebook.

What you will do

    • Design and build the core backend systems that power our product, and process billions of data points every day. Some examples of this include our data ingestion infrastructure, scalable training and inference of state of the art ML models, semantic search, real-time outlier detection and alerting.  
    • Work closely with our ML and frontend engineering teams to design the right APIs, data models and technical architecture for Refuel's platform.
    • Help define and evolve our engineering stack as we scale the product.
    • Help us hire a world-class team and mentor new team members.

You will be a great fit if you have

    • Experience building large-scale distributed systems that process large volumes of data.
    • Familiarity with Python programming language; experience or willingness to quickly learn technologies like AWS, Docker and Kubernetes.
    • Strong communication skills and enjoy working in a collaborative environment. We encourage open discussion and want the best ideas to win.
    • A curiosity about the early startup and company building journey.
    • Bonus: Experience with data processing technologies (e.g. Spark, Kafka) or machine learning frameworks and libraries (e.g. PyTorch, Tensorflow).

Our current tech stack

    • Infrastructure - AWS + Serverless + Kubernetes + secret sauce infra to power modern ML
    • Backend - Python + FastAPI + Postgres + DynamoDB
    • Frontend - React + Typescript
What we offer

We have raised funding from top-tier investors, including General Catalyst, XYZ Ventures and a host of successful angel investors from places such as Stanford, OpenAI, Facebook and Datadog. We will offer a competitive salary and meaningful equity in the company.

Most importantly, you will have the opportunity to create a massive impact on the product and company as a member of our early team. We care a lot about making a difference for our customers while working on a team where we are empowered to do the best work of our lives.
Full-time
Mid Level
Deep Learning
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Software Engineer, Product (London)
London
We are looking for a software engineer to join our product team and help build interfaces and APIs to interact with large language models. You will work with a team of engineers and researchers to design and implement key components of our product and platform.

About Anthropic
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.

Responsibilities:

    • Build core components of the API to access large language models
    • Write billing, email, and other integrations with third party providers
    • Develop conversational interfaces that leverage the language models
    • Optimize the API and interfaces for performance, robustness, and ease of use
    • Implement tools and processes to monitor model behavior and performance
    • Work with researchers to improve interfaces based on interactions with real users

You might be a good fit if you:

    • Have 2+ years of experience as a software engineer, preferably building APIs and/or interfaces
    • Have strong coding skills in Python and TypeScript and experience with service-oriented architectures
    • Take a product-focused approach and care about building solutions that are robust, scalable, and easy to use
    • Enjoy working with a fast-paced team tackling cutting-edge problems in AI safety and conversational AI
    • Enjoy pair programming (we love to pair!)

Strong candidates may also:

    • Have worked with NLP and ML models before and understand their capabilities and limitations
    • Have experience with REST APIs
    • Have experience with react and frontend frameworks
    • Have experience with containerisation and DevOps
    • Have experience with QA and testing automation
    • Have experience with privacy and security best practices

Annual salary

    • The expected salary range for this position is £250k - £430k.
Hybrid policy & US visa sponsorship: Currently, we expect all staff to be in our office at least 25% of the time. We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Private health, dental, and vision insurance for you and your dependents.
- Pension contribution (matching 4% of your salary)
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Health cash plan
- Life insurance and income protection
- Daily lunches and snacks in our office.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!
Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Full-time
Mid Level
Natural Language Processing
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AI Architect
Austin, Texas
Cognite is a global leader in industrial software with our Industrial DataOps platform, Cognite Data Fusion®, at the core. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms

The Product team is the team responsible for developing Cognite Data Fusion as a robust and scalable platform for solving industrial data problems at Cognite. The industrial data problem is at the heart of transforming asset-intensive industries to be safer, more sustainable and more profitable. Cognite’s Cognite Data Fusion makes the operational data available at scale and adds value to the data through data processing. This enables asset-intensive industries to make data-driven decisions. Our platform is built on many different technologies, each good at solving various challenges.

To build the best possible product, we believe in autonomous teams with developers, designers and product managers working closely together. We use the latest technologies ☁️ and work closely with end users to iterate quickly towards better product experiences 💻. That means that our users have the best data quality possible and ensure better insights for the user through data science and physical process modeling.

The rapid advances of Artificial intelligence (AI), especially around Generative AI, and in particular LLMs like OpenAI GPT family of models, have driven innovations starting to disrupt existing market spaces across industry. Many businesses are betting on AI as the next growth opportunity.

Are you passionate about applying state-of-the-art AI algorithms to real-world use-cases? Do you enjoy building end-to-end AI architectures that optimize or revolutionize existing processes? 

Are you fascinated by the new possibilities that Generative AI, Transformer models, and LLMs are creating to change the world?
We are looking for exceptionally talented and experienced individuals who have a proven track-record of working collaboratively with cross-functional internal and external teams, to identify opportunities and to lead the development of AI architectures in different industries that we target such as energy, manufacturing and utilities. The ideal candidate has a proven track-record for identifying repeatable patterns, to scale vertical solutions horizontally across industries. 

What You'll Do

    • Drive architecture and design patterns for various AI and ML related models, and services as part of Cognite Data Fusion SaaS platform
    • Collaborate closely with cross-functional internal teams, including product management, engineering and program management, and external partners and stakeholders, to identify opportunities for developing end-to-end AI architectures for diverse industry scenarios.
    • Passion for applying state-of-the art AI algorithms to real-world problems.
    • Stay up-to-date with the latest developments in AI and related fields, evaluate new developments and technologies for potential integration into existing and future architecture

Who You Are

    • You understand the overall architecture of Transformer models, including LLMs
    • You understand how to leverage multiple ML models in tandem 
    • You are familiar with modern techniques for Language Understanding, Computer Vision, and other Machine Learning and AI technologies 
    • You're excited about working on a local and global team of engineers, researchers, and product managers.
    • A Masters degree in Computer Science, Electrical Engineering or related fields with focus on AI and machine learning. PhD is highly preferred. 
    • 7+ years of industry and research experience in Artificial Intelligence and Machine Learning
    • Experience with AWS, Google or Azure is Required

Why choose Cognite? 🏆 🚀

A snapshot of our many perks and benefits as a Cogniter

    • Competitive Compensation including base plus bonus
    • 401(k) with 4% employer matching
    • Health, Dental, Vision & Disability Coverages with premiums fully covered for employees and all dependents
    • Unlimited PTO + flexibility to enjoy it
    • 18 Company Holidays including the week between Christmas & New Years
    • Paid Parental Leave Program
    • Employee Stock Purchase Program (ESPP)
    • Employee Referral Program
    • Company Paid Friday Lunch via DoorDash + Fully Stocked Fridges in the offices
    • Join a team of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝.
    • A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata 📷 to know more
    • Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
    • Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
    • Paid mobile phone and WiFI
    • A pet lover? Get the chance to meet Spot 🐶!
Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world. Our core Industrial DataOps platform, Cognite Data Fusion™, enables industrial data and domain users to collaborate quickly and safely to develop, operationalize, and scale industrial AI solutions and applications to deliver both profitability and sustainability. Visit us at www.cognite.com and follow us on Twitter @CogniteData or LinkedIn: https://www.linkedin.com/company/cognitedata

Equal Opportunity
Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment; everyone we hire will receive the same level of consideration for training, compensation, and promotion. 
We ask for gender as part of our application because we want to ensure equal assessment in the recruitment process. Your answer will help us reach this commitment! However, the question about gender is optional and your choice not to answer will not affect the assessment of your application in any way.
Full-time
Senior
Machine Learning Engineer
SF Bay Area
Our Mission at Gather
You generate enormous amounts of personal data when you use the internet. This data is extremely powerful and could make your life easier, better, more magical. So why aren't you using it? At Gather, we're building a revolutionary product at the intersection of personal data and AI to do exactly that. We're ushering in an era where users are at the heart of the data ecosystem, exercising control not only over their data but influencing entities that interact with it. 


Position overview: We’re looking for an entrepreneurial AI/ML engineer to lead Gather’s efforts to develop the definitive personal AI assistant - one that would combine the problem-solving skills of GPT with Gather's deep context about your life. This AI assistant could remind you of events from the past, get insights about the present and make decisions about the future! In this role, you will be expected to have a keen interest in artificial intelligence, machine learning, and staying current with the latest developments in a rapidly changing field. You will collaborate with a diverse team of software engineers, data scientists, and designers to apply AI to solve real-world problems and change the future for consumers.

You will: 
- Keep up with the latest development in Generative AI (reading latest papers, be current on new developments and product trends)  
-> Have exemplary technical research chops. Evaluate level of effort for use cases described above and deliver demos one use case at a time
 -> Be a hands-on tinkerer, be willing to experiment with new technology and code. Push our thinking on state-of-the-art possibilities with AI and be able to brainstorm with CTO, CPO, CEO etc.
 -> Be creative and communicate effectively and understand the full context of GATHER’s vision and potential use cases.
-> Think strategically and like a product manager. Lead a small team to deliver a product to make the full bot/assistant launch successful ->  exhibit leadership and some management experience.

Relevant skills sets:
● Bachelor’s degree or several years of experience in computer science, data science, software development, or another related field; a master’s degree is recommended
● Solid understanding of common programming languages used in AI, such as Python, Java, C++, and Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts
● 2-3 years of experience working with large data sets and writing efficient code capable of processing large data streams at speed
● Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks
● Excellent communication skills

The team you'll be working with consists of individuals who embody a big vision, show a lot of hustle, and share lots of laughter. The office exudes palpable energy, and they are eager to welcome the next team member.

Sumit Agarwal - CEO & youngest-ever Deputy Assistant Secretary of Defense
Mengmeng Chen - CPO, previously built 3 successful zero-to-one products
Zan Doan - CTO, was the first engineer at Turing
André Natal - Head of Speech & ML at Mozilla, creator of popular projects like Common Voice & Firefox Translations
Full-time
Mid Level
Generative Models
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Data Scientist
Remote
eSimplicity is modern digital services company that delivers innovative federal and commercial IT solutions designed to improve the health and lives of millions of Americans while defending our national interests. Our solutions and services improve healthcare for millions of Americans, protect our borders, and defend our country on the battlefields supporting the Air Force, Space Force, and Navy.
 
eSimplicity's people-centric approach aims to transform the American healthcare experience through innovative technologies. Our team’s experience spans various federal civilian customers on diverse projects across its core competencies. Our priority is to safeguard our community by leading the government’s cloud migration, developing artificial intelligence models to identify fraudulent Medicare claims, and accelerating access to data and insights.



Requirement

    • The Data Scientist must have two (2) or more years of hands-on working experience (non-collegiate) developing analytic rules and models using leading edge fraud analytic tools and best practices.
    • The Data Scientist must have two (2) or more years of hands-on working experience (non-collegiate) of data management and advanced analytic techniques.
    • The Data Scientist must have two (2) or more years of hands-on working experience (non-collegiate) using data sciences to detect and prevent fraud, waste, abuse, and mismanagement.
    • The Data Scientist must have two (2) or more years of hands-on working experience (non-collegiate) developing regression, classification, and other statistical models to identify anomalies, patterns, and predictive variables.
    • The Data Scientist must have two (2) or more years of hands-on experience coding rules and models using open-source programming techniques and tools, including R and/or Python.
    • The Data Scientist must have two (2) or more years of hands-on experience creating rule-based statistical models using SAS and SQL. Strong oral and written skills are required.
    • The Data Scientist must demonstrate at least two (2) years of hands-on experience working with graph databases and topologies (e.g. nearest neighbor).
    • The Data Scientist must demonstrate at least two (2) years of hands-on experience building data pipelines.
    • It is the Government’s preference that the Data Scientist demonstrate at least two (2) years of hands-on experience using PowerBI.
    • It is the Government’s preference that the Data Scientist demonstrate at least two (2) years of hands-on experience using Azure cloud services.
eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager.

Occasional travel for training and project meetings. It is estimated to be less than 5% per year.

Benefits:
We offer highly competitive salary, full healthcare benefits, performance bonus, and a flexible leave policy.

Equal Employment Opportunity:
eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.
Full-time
Mid Level
FourthBrain - Machine Learning Instructor - Remote
United States
FourthBrain educates aspiring Machine Learning engineers on the technical and practical skills required to provide immediate value to an AI product development or R&D team.  Our programs emphasize open collaboration and communication, and our unique approach to cohort-based learning is aimed at helping students achieve their personal career goals.

Our Instructional Team includes several roles and responsibilities, and you may work in one area or several, depending on your background, expertise, and interests. You will work closely with the Director of Product at FourthBrain to leverage their technical skills in ML to manage a cohort of students in a part-time ML training program. Your experience in the AI industry, ability to communicate, technical coding skills, will all be critical for this role. Experience in education is a plus but not strictly required.

We offer programs in Machine Learning Engineering and MLOps

What You May Be Doing:

    • Deliver live class session(s) for a total of 5-6 hours each week. These sessions will be on the weekends or evenings (schedule is variable by cohort, but consistent throughout the entire program)
    • Provide feedback to students on their assignments and projects, either asynchronously or in calls/meetings
    • Manage classroom tools and environments
    • Develop student assignments
    • Develop teaching materials like slides, code samples, discussion prompts, etc.
    • Hold office hours (60-90 mins) a week, which could be on evenings and weekends, to assist students with their weekly work

What You Must Bring:

    • Professional experience in Machine Learning, Data Science, Artificial Intelligence, and/or MLOps
    • Excellent written and verbal communication skills
    • Interest in student engagement, motivation, and teaching

It's Nice if You Have:

    • Previous experience as an instructor or lecturer in the areas of AI, machine learning, data science, robotics or similar
    • Academic experience in these areas is nice but not required
    • Experience with instructional design best practices as well as experience designing and teaching technical courses
At AI Fund and FourthBrain, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. AI Fund and FourthBrain believe that diversity and inclusion among our employees is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.

About AI Fund:FourthBrain is backed by AI Fund, a venture studio that harnesses the use of artificial intelligence to create innovative solutions for the big challenges of today. With the collective aspirations of our co-founders, we build companies from inception to market launch. We innovate, ideate, and validate to address some of the most pressing issues in human capital, healthcare, wellness, and other traditional industries. Founded in 2017 by Dr. Andrew Ng, the $176 million-dollar funded venture studio is backed by top-tier VC firms and investors, along with the AI Fund teams’ combined experiences as AI pioneers, entrepreneurs, venture capitalists, and operators.
Artificial Intelligence Engineer
San Francisco Bay Area, Remote
Do you want to impact the education of K 12 students with us?

Kira Learning is creating curriculum and learning tools that empower teachers and prepare students for a world in which technology and science play pivotal roles in everyone's lives.

We are backed by top-tier Venture Capital funds including New Enterprise Associates (NEA), Andrew Ng’s AI Fund, and Primavera, and are growing fast.

We are looking for an Artificial Intelligence Engineer that will own the end-to-end product execution by understanding student and teacher needs, building features that can be tested, and more.

This is a Remote position that can be based anywhere in the US
For this position, you must already have, or be able to obtain, authorization to work in the United States.

As an AI Engineer at Kira, you will:

    • Write programs using AI to improve student learning experience by implementing features including but not limited to: autograding coding exercises, giving automated detailed feedback to students, and personalizing a student’s learning experience with adaptive learning techniques.
    • Design and audit Kira Learning’s code review processes, and ensure that the company’s code base is maintainable, efficient, and well documented. 
    • Own end-to-end product execution, including working closely with Kira Learning’s UI/UX designer on interaction and visual design.
    • Work closely with Kira Learning’s Product and Content teams to ideate, scope, develop and iterate on end-to-end products as well as specific product features.
    • Understand and prioritize student and teacher needs, and translate these into product ideas and features that can be tested.

Your Experience and Skills include:

    • Bachelor’s or Master’s degree in Computer Science, or equivalent experience.
    • 2+ years experience as an AI engineer leading software design decisions, defining and managing end-to-end project requirements, and shipping complex products with minimal guidance.
    • Strong understanding of machine learning algorithms
    • Familiarity and experience working with NoSQL databases like MongoDB.
    • Familiarity and experience working with AWS.
    • Impeccable attention to detail.
    • Experience leading software engineering projects in a rapidly changing environment.
    • (Preferred) Strong grasp of frontend web development frameworks, in particular React and Next.js.

Compensation and Benefits:

    • Competitive salary and equity package in a well-funded, high-growth company (160k-200k).
    • Unlimited paid time off and paid parental leave.
    • Top-notch healthcare service.
At Kira Learning, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Kira believes that diversity and inclusion among our employees are critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided based on qualifications, merit, and business need.
Full-time
Mid Level
Curriculum Developer
Medellin
This is a remote contract position that can be done anywhere in the world.

AI is the new electricity. Millions of AI engineers will be required to transform industries with artificial intelligence and we’re building the education products to train them. DeepLearning.AI’s mission is to grow and connect the global AI community. We do that by providing a world-class education to people around the globe so that we can all benefit from an AI-powered future.

DeepLearning.AI is looking for a Curriculum Developers to work with our internal curriculum managers and network of world experts in the AI space to create high quality education content. In this role, you will leverage your expertise in learning experience design to help AI experts produce high-quality courses and effective learning experiences. Your experience as an educator, your technical skills in the AI space and your ability to communicate and work well with a team will all be critical for this role. We are open to remote global workers as long as they are available to work within 3 time zones of California (PDT / GMT -7).

Responsibilities:

    • Revise materials created by Subject Matter Experts (SMEs). In this role, you will be responsible for helping SMEs in the process of course creation. While our SMEs are experts in their technical domain, many of them are not expert teachers / instructional designers so it is imperative that you be an expert curriculum designer that can take rough materials created by SMEs (slides, scripts, quizzes, code exercises), identify areas for improvement, and ultimately revise those materials to help them deliver a high-quality product.
    • Help to create and / or  provide feedback on technical content. In this role, you will be responsible for creating or revising technical course content. Although you do not have to be an expert in the subject of every course, you must be sufficiently technical to be a learner in the course and judge how other learners will perceive the material. As such, we expect you to be proficient in math (calculus, linear algebra and statistics) as well as Python programming (functions, classes, data structures, machine learning frameworks) at a level where you can rapidly learn AI topic areas that are new to you and contribute to / provide feedback on course lecture materials and code exercises. At least a basic knowledge of AI / machine learning is required.
    • Ensure consistently high content quality and good pedagogy. “High quality” content at DLAI means content that is accurate, engaging and effective at delivering the skills learners set out to acquire. You will review content and be responsible for revising, improving and / or supplementing with additional content to ensure clarity, accuracy, and interest.  This requires an expertise in instructional design and an ability to empathize with learners. You will need to have an ability to not only identify areas of the content that need improvement, but also to offer solutions and implement those improvements. Familiarity with pedagogical practices such as defining learning objectives and backward design, as well as experience applying such practices in the creation of online educational content is a significant plus. 

Requirements:

    • Knowledge of instructional design best practices as well as experience designing and teaching technical courses.
    • Technical background in math and programming at a level sufficient to follow an online course in machine learning.
    • Bachelors in STEM / AI / CS or equivalent industry experience in areas like software development, machine learning or data science.
    • Excellent communicator and team player with an ability to author and edit high-quality written content in English.

Preferred:

    • Previous experience developing online asynchronous curriculum in the areas of AI, machine learning, data science, robotics or similar.
    • Industry experience as a data scientist, machine learning engineer or similar.

Team Culture:

    • Strong work ethic: All of us believe in our work’s ability to change human lives. Consequently we work not just smart, but also hard.
    • Growth mindset: We are eager to teach you new skills and invest in your continual development. But learning is hard work, so this is something we hope you’ll want to do.
    • Team orientation: We care for and watch out for each other. We’re humble individually, and go after big goals together.
    • Flexibility: We are flexible in our tasks and do whatever is needed to get the job done, including work that may be outside our job description.

Compensation & Benefits:

    • Competitive salary ($2,000 - $4,000 USD per month)
    • Flexible, untracked PTO with other monthly benefits.
At DeepLearning.AI, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. DeepLearning.AI believes that diversity and inclusion among our employees is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.

#LI-Remote
Contract
Logo
Senior Software Engineer, Developer Experience
San Francisco, CA
We’re looking for an experienced software engineer to improve code quality across our codebase by improving our CI system, test harness, static analyzers, and related tools. In this role, you’ll have a big impact on engineering productivity across the company: while our model-building tooling is world-class, there’s still enormous room for improvement.

About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Responsibilities:

    • Create fast, secure, repeatable developer environments to enable our developers and researchers to quickly move forward without compromising on security
    • Secure our code to protect against advanced threat actors
    • Implement CI and Static Analysis systems to identify issues before they impact users or researchers.

You might be a good fit if you:

    • Have strong instincts for code quality and robustness
    • Are comfortable debugging large-scale software systems
    • Enjoy close collaboration with engineers and researchers with a variety of backgrounds and expertise
    • Care about the societal impacts of your work
    • Pick up slack, even if it goes outside your job description

Strong candidates may also have:

    • Experience with Source Control tools such as git or mercurial
    • Experience with build and packaging systems such as Docker, Python setuptools, or Nix
    • Experience with linters and type checkers such as Flake8, Black, Mypy or Pyright

Representative Projects:

    • Support a fast, secure developer environment by:
    • Securing access to our models without negatively impacting productivity through cutting-edge security practices like two-party controls
    • Supporting fast development loops and sharing through Notebooks.

    • Improve Anthropic’s codebase-wide code quality by:
    • Adding additional static analyzers or static analysis rules, while keeping the development feedback loop fast
    • Ensuring dependencies are up-to-date and proactively increasing test coverage of dependencies
    • Creating and improving novel debugging tools for large asynchronous and multiprocessing codebases
    • Understanding notification strategies holistically and helping users control their notification preferences

    • Speeding up cold image pulls and allocation of agents

Annual Salary (USD)

    • The expected salary range for this position is $280k - $375k.
Logistics
Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!
Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Full-time
Senior
Software Engineer, UI
San Carlos, CA
About the job
If you want to do the best work of your life, believe diversity is a strength, and be part of an inclusive team of people who care deeply, keep reading!

Robust AI is a fast-growing, early-stage startup founded in 2019 by an unsurpassed team of veterans in robotics, AI and business. We are a collaborative group with a wide range of backgrounds and perspectives, seeking talented individuals who are just as excited about robotics and AI as we are! Help us redefine the very foundation of robotics and build robots that are smart, collaborative, robust, safe, flexible and genuinely autonomous. 

Job brief
We are looking for a passionate Software Engineer to work on our robot behavior authoring and fleet management tools. The current authoring tools involve a visual editor for behavior trees that can connect to robots to upload the behavior to the engine and show live execution status. Additionally, there are tools for managing robots at the warehouse level. This job will require the ability to work in several codebases at once depending on product needs.

In your role you will:

    • Develop interfaces for interacting with our robots at the individual and fleet level. 
    • Collaborate with the behavior engine team to expose new engine features through the authoring UI.
    • Turn product requirements into usable interfaces. 
    • Gather usage information about the tool suite to determine what areas need investment.
    • Communicate with internal teams about roadmap and upcoming changes. 
    • Refine our release and testing processes.
    • Iterate on the connection between authoring tool and robot with the infra team to ensure we have a secure and scalable authentication solution.

Essential skills:

    • 2+ years industry web development experience
    • 2+ years of experience working in javascript/typescript
    • Experience with modern web development frameworks (Such as Vue or React) and best practices
    • Familiarity with cloud application deployment (such as AWS of GCP)
    • Bachelor's degree or equivalent

Desired experience (one or more):

    • Behavior trees in any format (Robotics, Game Development, etc)
    • Transport layers for robots and computer systems like ROS, GRPC, NATS
    • Web authentication solutions

What we offer:

    • Competitive compensation, generous benefits, stock options and huge potential for growth 
    • Strong startup (and fun) culture
    • Medical, Dental, and Vision coverage
    • Flexible vacation and sick leave practices
    • Paid parental leave
Robust AI fosters a culture of belonging and a shared commitment to equality and equity. Having a diverse set of perspectives is key to ensuring AI and robotics serve the needs of all.
Full-time
Junior
Senior Mobile Engineer (iOS)
San Francisco, CA
Perplexity AI is looking for a Senior Mobile Engineer with focus on iOS to join our small team revolutionizing the way people search and interact with the internet. You will be responsible for an iOS app for our product.

The ideal candidate should have strong programming skills, an interest in search and large language models, and a passion for delivering a great UX backed by a quality UI.

Responsibilities:

    • You will develop a native iOS app for Perplexity's evolving product
    • You will define the processes around mobile development, including planning, testing, releasing, and monitoring
    • You will work with the core team to design and implement novel mobile experiences

    • Strong Swift fundamentals and a proven track record of working with a modern iOS stack built with SwiftUI, UIKit, and CoreData
    • Enjoys the craft of building nice UI, creating a good UX, and writing reusable and testable code
    • Understands low-level intricacies, and knows how to profile and measure app performance and speed
    • Comfortable working with a small, fast-moving team, and must be willing to dive in and take ownership
    • A passion for iOS development, and enjoys experimenting with what's new with each iteration of iOS and iPadOS
    • 4+ years industry experience
$180,000 - $250,000 a year

Compensation and Benefits

Perplexity AI’s compensation package consists of: salary, equity, and benefits. 
- The expected salary range for this position is $180K-$250K
- Equity - On top of this position's salary, equity will be a component of the total compensation. 
- Benefits - Comprehensive health, dental, and vision insurance for you and your dependents.
- 401(k) 
- Generous home-office stipend
About Perplexity AI


Perplexity AI is on a mission to revolutionize the way people search and interact with the internet. We are creating a powerful conversational interface that harnesses the power of large language models to deliver more accurate and intuitive search results. Join us and help shape the future of search and AI technology.
Full-time
Senior
Logo
Site Reliability Engineer (London)
London
We're looking for a Site Reliability Engineer who can work in the UK time zone. You'll ensure the high availability and performance of our Kubernetes clusters that power machine learning research and services.

About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Responsibilities:

    • Own Kubernetes clusters with thousands of nodes
    • Troubleshoot and resolve issues across the stack, from networking to applications
    • Improve monitoring, alerting, and incident response
    • Automate operations and infrastructure management
    • Partner with ML researchers and engineers to meet their infrastructure needs
    • Tune autoscaling and resource allocation for ML jobs
    • Build fault-tolerance into infrastructure to handle node failures
    • Monitor clusters and set up alerts/on-call playbooks
    • Migrate cloud deployments to Kubernetes using Terraform

You may be a good fit if you:

    • Have significant experience with Kubernetes and cloud-native infrastructure
    • Have a DevOps/SRE mindset: you enjoy debugging complex systems and automating solutions
    • Have strong communication skills to work with a range of technical and non-technical colleagues
    • Have an interest in the societal impacts of ML and a commitment to building robust, reliable systems

Strong candidates may also have:

    • Cloud infrastructure on AWS/GCP
    • Terraform/Infrastructure as Code
    • Monitoring/alerting tools like Prometheus/Grafana
    • Python and Linux SysAdmin skills
    • Significant experience with Kubernetes architecture and administration
    • Strong Linux skills and cloud infrastructure expertise
    • Familiarity with networking, caching, and storage optimizations
    • Track record of building resilient, scalable systems
    • Comfort debugging complex, distributed systems
    • Excellent communication and collaboration skills

Annual Salary (GBP)

    • The expected salary range for this position is £230k - £370k.
Logistics
Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.

Deadline to apply: None. Applications will be reviewed on a rolling basis.


We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Private health, dental, and vision insurance for you and your dependents.
- Pension contribution (matching 4% of your salary)
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Health cash plan
- Life insurance and income protection
- Daily lunches and snacks in our office.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!
Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Full-time
Mid Level
Logo
Senior Engineering Manager, Artificial Intelligence Platform
New York, New York, US
Hinge is seeking a Senior Engineering Manager to lead our Artificial Intelligence (AI) Platform team.  The AI Platform team owns the infrastructure and tooling that powers our AI and Machine Learning (ML) applications and enables our Data Scientists and ML Engineers to efficiently build, test, and deploy models.  This will be a highly impactful role in advancing Hinge’s ML and AI capabilities.

Responsibilities:

    • Manage, hire, and coach a high-functioning team of engineers.
    • Establish and drive the execution of an AI Platform roadmap that supports company objectives.  
    • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process.
    • Partner with other Engineering disciplines to integrate the AI/ML workflow into Hinge’s stack. Define best practices and processes to support efficient team operations.
    • Engage in hands-on work and software delivery while building out the team.

What We're Looking For:

    • 7+ years of experience as an ML, backend, data, or platform engineer, 4+ years of experience in ML/AI, 2+ years of management experience.
    • Proficiency in a programming language such as Python, Java, or Go.
    • Expertise in infrastructure and operations for machine learning, from training to serving to monitoring and observability.
    • Comfort with cloud native infrastructure.
    • Demonstrated technical leadership experience in aligning platform strategy with product and business objectives.
    • Passion for developing and coaching direct reports.
    • Ability to communicate effectively with individuals from diverse technical and non-technical backgrounds.
    • Nice to have: Previous experience with AWS, Argo, Kafka, Kubenetes
$219,500 - $263,000 a year
Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in New York City. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.
Our Company:
Hinge is the dating app designed to be deleted. In today’s digital world, singles are so focused on sending likes and looking through profiles that they’re not actually building meaningful connections and finding relationships. Hinge is on a mission to change that by designing the most effective app experience. On Hinge, there are no rules, timers, or games. Instead, you’ll have unique conversations over the text, photos, and audio you’ve shared on your profile. And it’s resonating with daters. Currently we’re setting up a date every three seconds.

Our Culture:
- Authenticity: Share your genuine thoughts and opinions directly. 
- Courage: Invite and deeply consider challenges and criticism.
- Empathy: Be empathetic, communitarian and trustworthy. 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Full-time
Senior
Deep Learning
Test Automation Engineer
San Carlos, CA
About the job
If you want to do the best work of your life, believe diversity is a strength, and be part of an inclusive team of people who care deeply, keep reading!

Robust AI is a fast-growing, early-stage startup founded in 2019 by an unsurpassed team of veterans in robotics, AI and business. We are a collaborative group with a wide range of backgrounds and perspectives, seeking talented individuals who are just as excited about robotics and AI as we are! Help us redefine the very foundation of robotics and build robots that are smart, collaborative, robust, safe, flexible and genuinely autonomous.

Job brief
We are looking for a Test Automation Engineer who is a passionate, detail-oriented professional with a strong background in Robotics and proven experience in automated testing within a CI/CD environment. Proficient in Python and C++, and experienced in Hardware-In-the-Loop (HIL) testing, they possess an innovative mindset and outstanding problem-solving abilities. Being a communicative team player, they're able to collaborate on complex projects and contribute to enhancing our testing tools and frameworks, bringing a deep understanding of robotics and automated systems to our team.


In your role, you will:

    • Develop and implement automated testing processes within our CI/CD pipeline.
    • Write, validate, and maintain software tests for Python, C++, and Rust codebases.
    • Implement and execute a combination of Hardware-In-the-Loop (HIL) tests and tests in simulation to ensure the effectiveness and stability of our robotic solution and cloud-based fleet management tools.
    • Collaborate with developers, engineers, product owners, and customers to understand and define system requirements and design robust testing methodologies.
    • Support the improvement of testing tools, frameworks, and infrastructure.
    • Document test plans, test cases, and test reports, ensuring accuracy and thoroughness.
    • Perform onsite testing to meet customer-specific requirements.

Experience, knowledge, and skills:

    • Bachelor's degree in Robotics, Computer Science, or related field.
    • Proven experience in developing and maintaining manual and automated test systems.
    • The ability to translate product requirements into actionable test specifications.
    • Experience with containerized application development (i.e. Docker, Kubernetes, etc.).
    • Strong proficiency in Python and C++, and familiarity with related testing suites such as PyTest.
    • Experience with Hardware-In-the-Loop (HIL) testing and simulation.
    • Familiarity with the Robot Operating System (ROS) or similar robotics packages.
    • Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines.
    • Experience with cloud based computing such as gcloud, AWS, etc.
    • Excellent problem-solving abilities and attention to detail. 
    • Strong written and verbal communication skills to collaborate with a diverse, multidisciplinary team composed of a combination of technical and non-technical team members.

What we offer:

    • Competitive compensation, generous benefits, stock options and huge potential for growth. 
    • Strong startup (and fun) culture.
    • Medical, Dental, and Vision coverage.
    • Flexible vacation and sick leave practices.
    • Paid parental leave.
Robust AI fosters a culture of belonging and a shared commitment to equality and equity. Having a diverse set of perspectives is key to ensuring AI and robotics serve the needs of all.
Full-time
Mid Level
Mobile Engineer (Android)
San Francisco, CA
Perplexity AI is looking for an experienced Mobile Engineer with focus on Android to join our small team revolutionizing the way people search and interact with the internet. You will be responsible for building and maintaining the Perplexity Android app.

The ideal candidate should have strong programming skills, an interest in search and large language models, and a passion for delivering a great UX backed by a quality UI.

Responsibilities:

    • You will develop a native Android app for Perplexity's evolving product
    • You will define the processes around mobile development, including testing, release, monitoring
    • You will work with the core team to design and implement novel mobile experiences

Requirements:

    • Strong Android fundamentals and a proven track record of working with a modern Android stack built in Kotlin
    • Enjoys the craft of building nice UI, creating a good UX, and writing code that can be reused by others
    • Understands how to manage performance and speed on the front end
    • Comfortable working with a small, fast-moving team, must be willing to dive in and take ownership
    • A passion for shipping
    • 4+ years industry experience
$160,000 - $220,000 a year

Compensation and Benefits

Perplexity AI’s compensation package consists of: salary, equity, and benefits. 
- The expected salary range for this position is $160K-$220K
- Equity - On top of this position's salary, equity will be a component of the total compensation. 
- Benefits - Comprehensive health, dental, and vision insurance for you and your dependents.
- 401(k) 
- Generous home-office stipend
About Perplexity AI


Perplexity AI is on a mission to revolutionize the way people search and interact with the internet. We are creating a powerful conversational interface that harnesses the power of large language models to deliver more accurate and intuitive search results. Join us and help shape the future of search and AI technology.
Full-time
Mid Level
Data Labeling Specialist
Seoul (HQ)
Seoul Robotics is a tech company with the mission “Making Robots intelligent”. We are a 3D computer vision company that uses AI and deep learning to power the future of autonomy.
We strongly believe it is time to make society better with our technology. This position is a great opportunity to join a company invested in engineering for the future.

Responsibilities

    • Collaborate with researchers to understand input and output data and label by drawing boxes and lines to highlight areas of interest in 3D point cloud
    • Assist researchers in training Deep Learning models by accurately categorizing content and labeling 3D objects
    • Report issues and insights discovered during the data labeling process to the research team and discuss to improve data and the labeling process

Qualifications

    • A college degree in mechanical, electric, computer engineering or related field
    • Ability to work on repetitive tasks efficiently and effectively with minimal errors
    • Proactive attitude to identify, discuss, and improve the work process
    • Strong interest in Artificial Intelligence technology

Preferences

    • Good interpersonal and communication skills in English
    • Knowledge in physics and dynamics
▷ International Team
▷ English is a must, Korean is optional
▷ Hybrid work with working 2 days per week in the office (Seocho-gu)
▷ 15 vacations a year (Free to use)
▷ No dress code
▷ Support the best equipment for work
▷ Premium health check (Once a year)
▷ Support books, seminars and conferences for growth

Process:
Apply ▷ 1. Recruiter Interview ▷ Live Coding Interview ▷ Assignment ▷ Final Interview with the Hiring Manger ▷ Join!

Internship
Computer Vision
Logo
AI Research Scientist (Master's/PhD)
Istanbul
EARLY IMPACT AI ACADEMY
 
Whether a scientist or engineer, bring your passion for AI and take Codeway as your play-ground. You’ll get all the support to improve your skills and build the best AI products the mobile industry has ever seen. Your work will immediately impact millions, practically!

By joining Early Impact AI Academy, you’ll join a passionate team of individuals who are on a mission to shape the future of AI-powered products. The vision is to become an R&D center in the near future and steer the world’s direction in the field. You’ll deep dive into cutting-edge technologies, work with the best researchers in the field, and help build better products.


CODEWAY: THE ROCKETSHIP KEEPS RISING

Codeway was founded in 2020 with a vision of turning strong ideas into sector-leading mobile products. Today, Codeway is a thriving tech company with multiple sector-leading apps and is home to 120+ bright & curious minds in Istanbul, Turkey.
 
We create mobile games and applications that millions of users love. We curate bold ideas and transform them into fast-growing products - from concept, through development, up to global market expansion. Our products have reached over 120 million users across 160 countries in six continents - and we’re just getting started.


EARLY IMPACT: NOT YOUR TYPICAL NEW-GRAD PROGRAM

Codeway’s most anticipated announcement is always around Early Impact, not your typical new grad program! The young and talented apply to our academies and go through a life changing transformation to become the best version of themselves.

AI, Coder, Product and Marketing academies provide an unmissable opportunity for a career in one of the best app creators of the world. Now, it’s your turn to take the wheel! You decide what your goals are, we give you responsibility and provide anything you might need to reach your goals.


WHAT YOU’LL BE DOING

·       Conduct state-of-the-art deep learning research.
·       Create and validate deep learning models leading to successful mobile products.
·       Analyzing our business models, processes, products, and goals to find better strategies for improving our business.
·       Play an active role in suggesting, collecting, and preprocessing the data necessary to train deep learning models and evaluate the performance.
·       Design and build scalable deep learning models that power our products.
·       Work with the other teams to determine the requirements and formalize the possible AI research directions.
·       Study scientific literature and available tools, stay up to date on new technologies, and identify relevant innovations.
·       Foster a fantastic atmosphere within your team, creating an environment that boosts flexibility, innovation and cooperation.
·       Master’s or Ph.D. degree in computer science, data science, or a related field.


WHAT YOU’LL BRING

·       Passion. Passion for marketing, product, AI, or coding. Simple enough.
·       Know-how. You have a technical background or experience in relevant fields.
·       Analytical approach. You're a fast learner who can independently explore and grasp new concepts. You can solve unexpected problems with your endless creativity. You can do all these individually.
·       Scientific approach. You follow and understand scientific research papers and develop state-of-the-art algorithms.
·       Good communication. Crystal clear communication skills.
·       Proficiency in English. You read, write, and speak without any trouble in English.
·       Cool vibe. You’re open to constructive criticism and feedback. You’re ready to improve yourself accordingly.
·       Take the wheel. You’re ready to get your hands dirty. You’re hard-working, you refuse to give up until achieving what you want to get. You’re result-driven and always aim for excellence in the work you do.
·       Ownership. We want you to be ready to own every aspect of your project. You won’t be a newcomer here; you’ll own your thing.


WHAT IN IT FOR YOU?

·       Great Place to Work - As our top team member, you'll be a part of a fast-growing startup and have the privilege to enjoy our accredited “BEST WORKPLACES” environment, ranked first among all workplaces.
·       A Competitive Compensation Package. Long story short, we take care of you.
·       Quarterly Compensation Adjustment Program. Codeway operates globally. So, it is our responsibility to make sure that your global purchasing power stays the same, or only goes up.
·       A meal compensation that is actually enough for a decent & nutritious lunch, we’re not following the industry standard.
·       Full Health Benefits. To keep you away from all the trouble.
·       Cool tech stack. A brand new Macbook, iPhone 13, magic mouse, magic keyboard; an adjustable desk with a 4K screen and any other gadget you may need in your job.
·       Sport activities support. We care about your physical wellbeing and support your gym membership.
·       Learning never ends! Training budget to help you grow in your role, gain new skills, and learn new things!
·       Udemy Free Pass. An unlimited Udemy subscription.
·       Flexible schedule & unlimited vacations. This isn’t a “clock in, clock out” company. We care about your productivity, not tracking every minute you’re on site. It’s up to you to always be responsible with your work, no matter where you are or what schedule you’re keeping.
·       English course support. Be more global and perform best at your work.
·       Feel better. We are pleased to offer free psychological counseling services through our corporate partnership with Meditopia.
·       A Top-Notch Office. Located at the heart of Istanbul, right next to Levent Metro Station at Ferko Signature.
·       Unlimited coffee & soft drinks at Codebucks. Yes, you’ve heard it right: We love coffee so much that we’ve built our own coffee shop inside our office.
·       Free breakfast. At Codebucks - every morning at 9:30 AM.
·       No Dress Code. Dress as you like.
·       Happy hours every Friday: Every. Single. Friday. When it’s 5 PM: Screens off, party on! (Check out Codeway on Instagram)
·       Dream Team. Average Codeway member is young, talented, and passionate - which makes our working environment extremely dynamic. Need proof? Take a look at our Instagram.
·       Gaming area. Whenever you need to take a break from hard work and relax with your favorite games, our PS5 corner will be waiting for you.
·       Software support. Subscription to any software you might need to perform at your best.
·       Relocation support to Istanbul. We understand how difficult moving can be, especially if you are changing cities. If you’re the talent we’re looking for, we support you in your relocation to Istanbul.


THE RECRUITING PROCESS
 
We are committed to keeping our recruitment process short and transparent. Here’s how it looks like:
 
1. Application: Send us your CV or LinkedIn profile. You can also just write a few words about yourself.
2. Case Study: We might send you a task to solve.
3. Talent & Culture Interview: Let’s talk about your experience & expectations and see what we can achieve together.
4. Technical Interview: You will meet with future team lead to go over the case and your technical capabilities in detail.
5. Final Interview: A final interview with the executive team to see if we're all on the same page.
6. Welcome Aboard! You are now a part of the team.
Full-time
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Sr. SWE, Perception/Tracking
Costa Mesa, CA
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

WHY WE’RE HERE

The Mission Software Engineering team builds, deploys, integrates, extends, and scales Anduril's software to deliver mission-critical capabilities to our customers. As the software engineers closest to Anduril customers and end-users, Mission Software Engineers solve technical challenges of operational scenarios while owning the end-to-end delivery of winning capabilities such as Counter Intrusion, Joint All Domain Command & Control, and Counter-Unmanned Aircraft Systems.

As a Mission Software Engineer, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve a variety of critical outcomes. Above all, Mission Software Engineers are driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.

COUNTER-INTRUSION

The Counter-Intrusion's mission is to provide integrated, autonomous systems to protect personnel and critical infrastructure from a rapidly evolving set of threats. Anduril's ability to enable operators is greatly dependent on our ability to deliver Computer Vision (CV) and Sensor Fusion (Tracking) solutions that will enable our users to cut through the noise and identify sources of interest on land and sea. We are looking for a senior engineer to understand, architect and deliver state of the art perception and tracking capabilities.

WHAT YOU'LL DO

    • Collaborate closely with the stakeholders to align object tracking and computer vision development with current business needs.
    • Architect performant and scalable data pipelines to capture high-quality datasets for model training and evaluation.
    • Design, Implement and Optimize tracking algorithms to accurately track the state of moving entities.
    • Define metrics and evaluation methodologies to asses performance of CV, and tracking and estimation algorithms.
    • Devise, build and perform experiments geared towards improving current approaches to detection and tracking.
    • Drive technical execution of projects from ideation to deployment in a fast-paced, collaborative and iterative manner.
    • Provide technical leadership and mentorship to fellow engineers, enabling their growth in algorithm development and problem-solving.

CORE REQUIREMENTS

    • Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics.
    • Solid programming experience in C++, Python, MATLAB and some libraries commonly used in computer vision and tracking systems, like pytorch, ROS, eigen, opencv, pandas, ceres, and scikit-learn.
    • Strong analytical skills to infer the state of complex systems using noisy sensor measurements, particularly in challenging environments.
    • Experience developing and deploying computer vision models to production.
    • Strong commutation skills to collaborate effectively across teams and present technical concepts to both technical and non-technical stakeholders.
    • Proficiency in implementing the latest research and trends in computer vision, tracking and related fields.
    • Experience working with Linux (NixOS preferred)

WHAT WE VALUE IN MISSION SOFTWARE

    • Customer Facing - Mission Software Engineers are the software engineers closest to Anduril customers, end-users, and the technical challenges of operational scenarios.
    • Mission First - Above all, MSEs execute their mission in an expedient, scalable, and pragmatic way. They keep the mission top-of-mind and make pragmatic and thoughtful engineering decisions to deliver successful outcomes.
    • Small Project Wrangling = Large Project Impact - Our MSEs are the voice of our business line(s). They are the forcing function that gets us to think about how a project will transition to production and tie in to the centralized functions across the business.
    • Embrace Challenge (and follow through) - We take responsibility for achieving the mission; Developing technical self-sufficiency across a wide range of environments. Ruthlessly prioritizing, while honing our ability to understand large systems and incorporate new components in varying levels of complexity. 
$112,000 - $240,000 a year
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in all offers and are considered part of Anduril’s total compensation package. Additionally, Anduril offers top-tier benefits, including comprehensive medical, dental, and vision plans, employee life and disability, mental health and family planning benefits with all premiums paid by Anduril. Anduril provides fully paid medical leave, paid company holidays, and paid time off. A professional development stipend is available to all Andurilians and all on-site meals are fully subsidized during the work week through use of our gourmet kitchens. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we’d love to hear from you!
Full-time
Senior
Computer Vision
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Marseille
Full-time
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Principal Data Scientist
Richmond, CA
Do you want to change the world? We do, too.
 
SunPower is changing the way our world is powered every day with a passionate and driven team of more than 3,660 full-time employees in North America and the Philippines. SunPower provides world-class solar solutions to residential customers across the U.S. with a commitment to a superior customer experience. We welcome forward thinkers, freedom chasers and all those demanding better, cleaner energy to join us.

Summary of Role:
This role is a pivotal component of SunPower’s Pipeline Management organization with responsibility for working with senior and executive cross-functional leaders to develop operational datasets, build predictive models that reveal operational efficiency and/or friction points, create understanding via compelling insights into the root causes of inefficient workflows and/or suboptimal customer outcomes, and develops recommendations for options to take corrective action. In this role, you will work with cross-functional teams of business partners, software and data engineers, and PMO leaders to design and build scalable, ideally, user-accessible reporting and modeling tools, teach/train others in how to access, understand, and leverage data-driven insights, and proactively develop tools that anticipate future needs of the organization’s leaders.  

Essential Duties & Responsibilities:

    • Develop data-based analytical models, techniques, and machine learning engines to provide the business with predictive models that create visibility into business operations. 
    • Build data-enabled recommendations for improving SunPower’s understanding of its operational workflows and how to gain proactive insights into friction points. 
    • Work cross-functionally to optimize the customer experience through improved operational efficiency and customer-facing data visibility. 
    • Train and/or educate business leaders on the methods and practices for developing business insights with data. Provide ad hoc coaching and/or develop and deliver micro-trainings as opportunities arise. 
    • Provide cross-organizational support/engagement on experimental design, exploratory data analysis, and data management. 

Required Qualifications:

    • 7+ years relevant experience in business data engineering, data science, and/or analytics ideally in an operations-focused, construction, construction management, or residential solar business.  
    • Hands-on experience in statistical analysis, data mining, data engineering, modeling and forecasting, machine learning, and working with software developers to build predictive analytics tools for use by business leaders.  
    • Demonstrated proficiency in SQL, Python, R, STATA, Data Warehouse solutions, Machine Learning Software, and database management ideally with large-scale datasets. Experience with Anaplan is desired but not required. 
    • Experience should include complex data cleansing and validation, master data management, and experience with data visualization tools such as Tableau or similar BI tools. 
    • BA/BS in science, engineering, finance, or a related field. Master is preferred but not required.
Pay Range:
$143,520 - $215,280
 
Other rewards may include annual bonus eligibility, short and long-term incentives, and a comprehensive and competitive benefits program which includes health insurance coverage, employee wellness, life and disability insurance, a retirement savings plan, paid holidays, paid time off, and so much more.
 
*Please note the pay range provided is a good faith estimate for this position only and in the geographical location noted.

Don’t meet every single requirement? Studies have shown that women and underrepresented minorities are less likely to apply to jobs unless they meet every single qualification. At SunPower, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Equal Employment Opportunity
The Company is an equal employment opportunity employer and makes employment decisions, including but not limited to, hiring, firing, promotion, demotion, training, and/or compensation, on the basis of merit. Employment decisions are based on an individual’s qualifications as they relate to the job under consideration. The Company’s policy prohibits unlawful discrimination based on sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions, the actual sex of the individual, or the gender identity or gender expression), race, color, religion, including religious dress practices and religious grooming practices, sexual orientation, national origin, ancestry, citizenship, marital status, familial status, age, physical disability, mental disability, medical condition, genetic information, protected veteran or military status, or any other consideration made unlawful by federal, state or local laws, ordinances, or regulations. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all persons involved in the operations of the Company and prohibits unlawful discrimination by any employee of the Company, including supervisors and co-workers.



Accommodation for Applicants to SunPower Corporation
SunPower Corporation is an Equal Employment Opportunity / Affirmative Action employer and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. If you have any difficulty using our online system and you need a reasonable accommodation due to a disability, you may use the following alternative email address to contact us about your interest in employment at SunPower Corporation: jobs@sunpower.com. Please indicate in the subject that line of your email that you are requesting accommodation. Only candidates being considered for a position who require an accommodation will receive a follow-up response.

NOTICE TO ALL APPLICANTS AND EMPLOYEES

Availability of Affirmative Action Plan for Review
SunPower is a federal government contractor. As a part of the Company’s obligations under law, it must develop a written Affirmative Action Program (AAP) for the Disabled, Recently Separated Veterans, Armed Forces Service Medal Veterans, Disabled Veterans and Active Duty Wartime Or Campaign Badge Veterans and for Women and Minorities as specified by law. Non-confidential and non-proprietary aspects of the AAP are available for inspection by applicants and employees, consistent with applicable law, which will be made available during office hours by contacting the EEO Officer.
Full-time
Senior
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Senior Data Scientist
Vilnius
Our Threat Intelligence team is dedicated to providing accurate and timely information on potential threats to our products. Our team of skilled professionals from various fields, including Data Science, Malware Research, Development, and Privacy, are focused on achieving a common goal by utilizing feeds, heuristics, algorithms, and machine learning.

Main Responsibilities

    • Design solutions to problems while researching, debugging, and analyzing data using different data sources;
    • Create scalable & reliable code, as well as write documentation for the parts that you’ve contributed to or explored;
    • Research, develop & deliver data science solutions to production;
    • Develops custom ML metrics that would help to monitor model performance;
    • Analyze validation/testing results, explain them, and improve model design accordingly;
    • Plan the deliverables with the team members;
    • Code reviews;
    • Constant communication about the progress;
    • Mentoring & knowledge sharing;
    • Suggest improvements to current solutions.

Core Requirements

    • Proven experience in data science and/or mathematical modeling;
    • Solid knowledge of statistics (e.g., Monte Carlo, hypothesis testing, bootstrap, Bayesian inference);
    • In-depth knowledge and hands-on experience in machine learning algorithms: linear regression, random forest, gradient boosted trees, neural networks, k-means, etc.;
    • Proficiency in Python and hands-on experience with the PyData stack (e.g., Pandas, Numpy, matplotlib) for analytics/machine learning;
    • Excellent problem-solving skills (researching, debugging, instrumentation);
    • Ability to break down and prioritize work, make informed decisions about which tools and algorithms to use for specific problems;
    • Team-driven mentality and ability to collaborate with other colleagues, as well as ownership;
    • Willingness to explore, grow and mentor others while keeping up with the latest innovations in data science.

Salary Range

    • Monthly gross salary from 3300 to 6610 eur.
About Us


Nord Security is a global leader in internet privacy and security solutions and Lithuania’s second tech unicorn. Established in 2012, Nord Security now has more than 1400 employees and serves millions of users worldwide. Our team has a global mission to shape a more secure and peaceful online future for people everywhere.
With that in mind, we built 4 advanced cybersecurity solutions: NordVPN, NordLayer, NordLocker, and NordPass.

NordVPN is the world’s most advanced VPN service provider, used by millions of internet users worldwide. NordVPN provides double VPN encryption and Onion Over VPN and guarantees privacy with zero tracking. One of the key features of the product is Threat Protection, which blocks malicious websites, malware, trackers, and ads. NordVPN is very user friendly, offers one of the best prices on the market, and has over 5,000 servers in 59 countries worldwide.

And we’re always looking to expand our team of :

• Future shapers
• Restless achievers
• Self-movers
• Honest communicators
• Team players

 What We Offer

Access to Nord Security products. We build solutions used by millions of users worldwide, and you’ll get to experience our products firsthand;
Professional growth. Internal and external events, online training, conferences, books - everything you need to reach full potential;
Health benefits. Private health insurance, online and on-site workouts, consultations to feel and be your best;
Mental wellbeing. Access to mental health tools like Calm, Headspace, and Mindletic. Options for therapy to keep your emotional wellbeing in check;
Team spirit. Team buildings and parties with games, shows, tastings, food coupons, gifts, and it’s on us;
More free time. Stay with us and additional vacation days will be added to your calendar;
Additional paid leave. Additional days are covered by us in cases of illness or special occasions;
Flexibility. Flexible working time arrangement.
Full-time
Senior
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Data Scientist
Barcelona, ES
Join albelli-Photobox Group as a Data Scientist and become a catalyst for digital success. Your analytical prowess and data-driven approach will shape the experiences of millions of users worldwide, fuel commercial growth, and pave the way for continuous innovation in our digital products and services. 

About the role
As a Data Scientist, you will be at the forefront of driving digital success by optimizing high-traffic volume websites and photo editor applications. Armed with your expertise in statistics, experimental design, and data analysis, you will play a pivotal role in enhancing user experiences and delivering tangible commercial benefits. 
Collaborating with the global Product Analytics team, you will directly engage with a diverse range of stakeholders within the product domain, shaping the future of our digital offerings and impacting millions of users across the globe.

Primary Responsibilities:

    • Develop and deploy advanced data tools to automate analyses, enabling faster and more efficient decision-making processes.
    • Create cutting-edge methodologies for A/B testing, allowing us to identify and implement optimization strategies with greater precision.
    • Build predictive models to estimate the potential commercial value of optimization activities, supporting data-driven decision-making.
    • Conduct in-depth data analyses to uncover valuable insights and patterns that drive impactful improvements.
    • Work closely with engineers to bring analytical models and tools into production, contributing to seamless implementation.
    • Champion best practices in analysis and experimental design, fostering a culture of data-driven excellence within the team and beyond.

Impact and Contributions:

    • Your data-driven insights and optimization strategies will directly impact the user experience of millions of customers worldwide, fostering loyalty and enragement
    • By leveraging your statistical expertise, you will enable us to make data-backed decisions that lead to increased revenue and measurable commercial success.
    • Your methodologies and tools for identifying and testing product optimization opportunities will result in improved digital offerings and increased customer satisfaction.
    • Through your advanced analyses, you will unearth valuable trends and opportunities, driving innovation and setting new industry standards.
    • Collaborating with engineers, you will ensure the successful deployment of analytical models, streamlining operations and expediting time-to-market for new features.
    • Sharing best practices in data analysis and experimental design will elevate the analytical capabilities of the team and empower stakeholders to make more informed decisions.

Experience and Attributes we’d like to see:

    • Master’s degree in data science, statistics, econometrics, computer science, mathematics, engineering, or a related field
    • A solid foundation of statistics and predictive modelling
    • Proven experience (4+ years) with statistical analysis, experimental design, data visualization, and machine learning
    • Well-versed in Python, R and SQL
    • Knowledge of Looker / Shiny Apps, HEX or similar
    • Collaborative code development experience, including version control, code review and sharing

Nice to Have Experience:

    • Knowledge of the Dutch, German, French, or Spanish language would be advantageous.

What's in it for you?

    • 23 days of annual leave with a healthy work-life balance
    • Budget for personal growth and development, including external training, courses, and conferences8 weeks out of the year to work working remotely abroad
    • An informal, fun, proactive, and inclusive culture with a social atmosphere (Friday drinks, parties, sports, etc.)
    • A fast-growing e-commerce environmentAn international company hosting over 70+ nationalities
    • Join a growing office 50+ in central Barcelona, situated in a WeWork by Plaça de les Glòries Catalanes, a hub for technology and innovation​ and within walking distance of public transport, the beach and shopping centers
About us
We're albelli-Photobox Group, the experts in printing high-quality personalised photo products, from photo books and wall decor, to calendars, cards and more.  

We create JOY by connecting people to the moments that matter most. Inspiring people to create and share their stories with us.  

We're searching for fresh thinkers and team players who are passionate about their work, collaborate to solve problems, constantly challenge themselves to learn and innovate, and thrive on delivering an exceptional customer experience.  

We’re a pan-European business serving over 7 million customers, supported by our 1,150 colleagues and are growing across a number of our locations.

Equal opportunities statement
We are committed to promoting equal opportunities in employment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation.

If you have a disability or special need that requires reasonable adjustments in order for you to perform at your peak during the interview, please let our HR team know ahead of time so that they can assist. We will consider the matter carefully and try to accommodate your needs within reason. If we consider a particular adjustment would not be reasonable we will explain our reasons and try to find an alternative solution where possible.

Sponsorship
We aren't able to offer sponsorship for this role so please only apply if you have the Right to Work without the need for sponsorship
Mid Level
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Data Scientist
Amsterdam, NL
Join albelli-Photobox Group as a Data Scientist and become a catalyst for digital success. Your analytical prowess and data-driven approach will shape the experiences of millions of users worldwide, fuel commercial growth, and pave the way for continuous innovation in our digital products and services. 

About the role
As a Data Scientist at Albelli-Photobox Group, you will be at the forefront of driving digital success by optimizing high-traffic volume websites and photo editor applications. Armed with your expertise in statistics, experimental design, and data analysis, you will play a pivotal role in enhancing user experiences and delivering tangible commercial benefits. 
Collaborating with the global Product Analytics team, you will directly engage with a diverse range of stakeholders within the product domain, shaping the future of our digital offerings and impacting millions of users across the globe.

Primary Responsibilities:

    • Develop and deploy advanced data tools to automate analyses, enabling faster and more efficient decision-making processes.
    • Create cutting-edge methodologies for A/B testing, allowing us to identify and implement optimization strategies with greater precision.
    • Build predictive models to estimate the potential commercial value of optimization activities, supporting data-driven decision-making.
    • Conduct in-depth data analyses to uncover valuable insights and patterns that drive impactful improvements.
    • Work closely with engineers to bring analytical models and tools into production, contributing to seamless implementation.
    • Champion best practices in analysis and experimental design, fostering a culture of data-driven excellence within the team and beyond.

Impact and Contributions:

    • Your data-driven insights and optimization strategies will directly impact the user experience of millions of customers worldwide, fostering loyalty and enragement
    • By leveraging your statistical expertise, you will enable us to make data-backed decisions that lead to increased revenue and measurable commercial success.
    • Your methodologies and tools for identifying and testing product optimization opportunities will result in improved digital offerings and increased customer satisfaction.
    • Through your advanced analyses, you will unearth valuable trends and opportunities, driving innovation and setting new industry standards.
    • Collaborating with engineers, you will ensure the successful deployment of analytical models, streamlining operations and expediting time-to-market for new features.
    • Sharing best practices in data analysis and experimental design will elevate the analytical capabilities of the team and empower stakeholders to make more informed decisions.

Experience and Attributes we’d like to see:

    • Master’s degree in data science, statistics, econometrics, computer science, mathematics, engineering, or a related field
    • A solid foundation of statistics and predictive modelling
    • Proven experience (4+ years) with statistical analysis, experimental design, data visualization, and machine learning
    • Well-versed in Python, R and SQL
    • Knowledge of Looker / Shiny Apps, HEX or similar
    • Collaborative code development experience, including version control, code review and sharing

Nice to Have Experience:

    • Knowledge of the Dutch, German, French, or Spanish language would be advantageous.

What's in it for you?

    • 26 days of annual leave with a healthy work-life balance
    • 8 weeks out of the year to work working remotely abroad
    • Hybrid working - 2 day a week in the office
    • An informal, fun, proactive, and inclusive culture with a social atmosphere (Friday drinks, parties, sports, etc.)
    • Join an internationally diverse company of 70+ nationalities based out of our Amsterdam office, located next to Central Station with stunning views of the harbor, and the numerous canals running through the old city.​
About us
We're albelli-Photobox Group, the experts in printing high-quality personalised photo products, from photo books and wall decor, to calendars, cards and more.  

We create JOY by connecting people to the moments that matter most. Inspiring people to create and share their stories with us.  

We're searching for fresh thinkers and team players who are passionate about their work, collaborate to solve problems, constantly challenge themselves to learn and innovate, and thrive on delivering an exceptional customer experience.  

We’re a pan-European business serving over 7 million customers, supported by our 1,150 colleagues and are growing across a number of our locations.

Equal opportunities statement
We are committed to promoting equal opportunities in employment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation.

If you have a disability or special need that requires reasonable adjustments in order for you to perform at your peak during the interview, please let our HR team know ahead of time so that they can assist. We will consider the matter carefully and try to accommodate your needs within reason. If we consider a particular adjustment would not be reasonable we will explain our reasons and try to find an alternative solution where possible.

Sponsorship
We aren't able to offer sponsorship for this role so please only apply if you have the Right to Work without the need for sponsorship
Full-time
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(Senior) Data Scientist
Frankfurt
Ready to lead, disrupt and reinvent the sleep industry?

We are Emma – The Sleep Company. Created in 2013, we are now the world's largest D2C sleep brand, available in over 30 countries and recommended by many consumer associations in EMEA, APAC, and the Americas. We're pushing the boundaries of technology to transform the world of sleep and we want your help to pull it off.
  
We're a highly ambitious, hard-working team that pushes you to produce your best work yet. We focus on how we approach problems, we chase growth, and set ambitious goals. Want your ideas to have an impact and your career to grow? Then Emma is the right place for you.

What you'll do:

    • You will create cutting-edge models and solutions to enhance and streamline marketing decision-making processes, seamlessly integrating them into our market-leading technology platform.
    • You will assess the effectiveness of our marketing initiatives by employing advanced techniques such as attribution analysis, incrementality tests, and media mix modeling. As well as translate the resulting insights into actionable strategies that will guide our marketing budget allocation.
    • You will leverage your expertise in handling extensive data sets to conduct comprehensive analyses from start to finish, including data preparation, modelling training, and thorough evaluation.
    • You will own, improve and promote best practices and scientific models for Machine Learning, advanced statistics and predictive modeling within the team.
    • You will join a dynamic Marketing Data Science team and collaborate closely with a talented group of Data Scientists, Engineers, and Analysts who bring diverse experience and skills to the table. Together, we will drive success across Emma's marketing efforts.

Who we're looking for:

    • You have a Master’s degree or PhD in computer science, applied mathematics, statistics or other related fields.
    • You have an in-depth experience in data science and the development of machine learning models.
    • You have a strong experience with Python and its common machine learning libraries (sklearn, Tensorflow/ PyTorch).
    • You show good knowledge of software engineering and database fundamentals.
    • You build on modern big data infrastructures to create scalable solutions.
    • You are passionate about data, technology and marketing.
    • You ideally have first experiences with cloud computing (AWS/ Azure).
    • You feel confident expressing yourself in the English language (both spoken & written).

What we offer:

    • A combination of personal and company growth to accelerate your career and help you reach your goals.
    • The chance to work on exciting and challenging projects either independently or as part of a dedicated, international team.
    • Responsibility and decision-making authority from day one—you'll create an impact with new, innovative ideas and help shape our company DNA.
    • To work and learn from experts in diverse fields and get to know your team members at exciting company events.
Become an Emmie

Emma is transforming the world of sleep - and we want the highest-performing people to help us pull it off. We want you. But only if you're willing to go all in. Only if you're willing to question, disrupt, innovate, and create from the ground up. ​

We proudly celebrate diversity. We are an equal-opportunity employer committed to promoting inclusion in our workplace. We consider all qualified applicants for employment without regard to race, ethnic origin, religion or belief, gender, gender identity or expression, sexual orientation, national origin, disability, or age.

Our aim is to get back to you in a couple of days, however, we are currently receiving a large number of applications and this might lead to a delay in the process. We will get back to you as soon as possible!
Full-time
Senior
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Principal Machine Learning Engineer
Mountain View, United States
Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Atlassian is seeking a Principal Machine Learning Scientist to join our Central AI team. The Central AI organization constructs the fundamental infrastructure, data pipeline, frameworks, models, and other capabilities to expedite AI feature development throughout the entire company.

Your future team
The Central AI org is part of the larger Atlassian Intelligence program. Its purpose is to accelerate AI innovation across all our products and platform, provide cohesive AI experiences and setup up an Atlassian AI infrastructure for the future.
While it's anticipated that the majority of AI-driven initiatives will be developed and executed by federated product teams within Atlassian, the role of Central AI is pivotal to this process. Central AI is tasked with constructing the underlying infrastructure and capacities, which are crucial for the seamless integration and optimal functionality of AI across various departments. By doing so, Central AI ensures that different teams within the organization do not work in silos but have access to a unified foundation that promotes efficiency and collaboration. Additionally, Central AI is responsible for developing some of the core shared experiences typical in the AI domain, such as search, knowledge discovery and conversation.


What you’ll do
As a Principal Machine Learning engineer, you will drive the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to emerging ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings.

On the first day, we'll expect you to have

    • Master or PhD in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
    • 5+ years of related industry experience in the data science domain
    • Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
    • Experience building and scaling machine learning models in business applications using large amounts of data
    • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
    • Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"
    • Agile development mindset, appreciating the benefit of constant iteration and improvement

It's great, but not required, if you have

    • Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
    • Experience in developing deep learning-based models and working on LLM-related applications
    • Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions
Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.
Full-time
Senior
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Senior Machine Learning Engineer - Fintech Foundation (Remote)
Remote-CAN
Hopper is continually redefining how people travel, combining a best-in-class travel agency with a portfolio of proprietary fintech offerings that give our customers peace of mind when booking travel.  More than 100M monthly active users are exposed to our products through our mobile app and a growing list of partners such as CapitalOne, Uber, Nubank, and Air Canada.  With a real-time feed of 50B+ priced itineraries daily along with more than ten years of history and multiple external data sources, we have unparalleled insight about pricing and demand trends.

This is a unique opportunity to join our growing Fintech Foundation team and help millions of people travel better, for less. Our team enables our product teams to deliver new products to market faster; produce better quality pricing and provisioning models faster; and be more responsive to changing market conditions, product construction and service outages.   As a Senior Machine Learning Engineer, you will be directly responsible for developing the services and tooling on our golden path for model development and delivery in collaboration with our product engineers, data scientists and product managers.  This will include aspects of our feature platform, model pipeline automation, model deployment and observability infra, and ownership of several tier-one production services.

In this role, you will:

    • Build the next generation of our predictive modeling infrastructure, setting standards for code and performance
    • Tame huge volumes of real-time streaming data and simplify access to offline data for model development
    • Work in a complex dynamic environment with a rich API tier
    • Collaborate with a diverse group of people, giving and receiving feedback for growth
    • Execute on big opportunities, helping Hopper’s continued rise to the top of the travel industry

A perfect candidate has:

    • Thrived with machine learning techniques and technology for model development and deployment, particularly in the Google Cloud Platform environment 
    • Experience designing streaming data systems with tools such as GCP Dataflow, GCP PubSub, Kafka, Flink, or Akka/Pekko Streams.
    • Experience with traditional batch ETL tools like Airflow and SQL is also an asset.
    • Familiarity with Scala (or other functional, statically-typed languages) for backend development and Python for ML automation
    • Expertise with various data stores (transactional and warehouse) such as Spanner and BigQuery
    • Comfortable mentoring and leading people at different stages in their career
    • Excel in cross-functional teams, working with Product Managers, Data Scientists, full stack Engineers, and other highly skilled specialists
    • Passion for quality; writing robust, performant and testable code for our customers
    • Comfortable being on-call for critical production services relied upon by all of Hopper


More about Hopper

At Hopper, we are on a mission to become the world’s best — and most fun — place to book travel. By leveraging massive amounts of data, advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to help customers spend less and travel better. Ranked the third largest online travel agency in North America, the app has been downloaded over 100 million times and continues to gain market share globally.

Here are just a few stats that demonstrate the company’s recent growth:

Hopper sells $6 billion worth of travel and travel fintech every year; 2022 sales were up 3X over 2021. In 2022, Hopper increased its revenue 2.5X year-over year.

The company’s bespoke fintech products, such as Flight Disruption Guarantee and Price Freeze, now represent around 50% of Hopper’s total app revenue. 

Given the success of its fintech products, Hopper launched a B2B initiative called Hopper Cloud in late 2021. Through this partnership program, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory. As its first Hopper Cloud partnership, Hopper partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders.

Other partners include Marriott, Uber, Agoda, CommBank and many more to be announced. 

Hopper Cloud now comprises more than 50% of Hopper's business; Hopper Cloud made around as much in 2022 as all of the Hopper app did in 2021.

Recognized as one of the world’s most innovative companies by Fast Company four years in a row, Hopper has been downloaded over 100 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agency in North America. 

Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. Hopper is primed to continue its acceleration as the world’s fastest-growing mobile-first travel marketplace. 

Come take off with us!


Full-time
Senior
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Staff Machine Learning Engineer (Permanent Remote, US)
Austin, TX
As a Staff Machine Learning Engineer, you will lead teams of engineers to develop ways to harness knowledge from one of the most extensive data sets of medical records, diagnoses, claims, and prescriptions. In this process, you will improve the efficacy of patient identification and delivery methods. You will enjoy the flexibility of being a part of a U.S.-based, permanently remote engineering and platform team. You will engage with stakeholders across multiple teams to lead the design, development, and productization of machine learning systems and solutions that help improve health outcomes for patients.

At Aledade, you will sit at the intersection of:
A huge problem; amounting to trillions of dollars of waste in U.S. Healthcare spending.
An approach that moves the needle; In the U.S., we wait until someone has a stroke, then are hospitalized. From there, no expense is spared. Using technology, Aledade changes that by enabling doctors to intervene with the proper preventive care, like blood pressure control, before it becomes a stroke.
A platform that works at scale; last year 11,000 physicians across 36 states served ~1.7M patients, saving 24,000 unnecessary hospitalizations and 120,000 visits to the emergency room using Aledade’s technology.

But the journey is only 1% done, come join us to build a world-class team that will not quit till it addresses the trillions of dollars of suffering in U.S. healthcare spending

Technologies we use:
Amazon Web Services, PostgreSQL / Amazon Aurora, Snowflake, Python, Node.js, Airflow, Spark, DataBricks, R, and various ML frameworks

Responsibilities:

    • Improve ML infrastructure for model development, training, and deployment.
    • Design multi-year vision, shaping the direction of some of our crucial machine learning areas - intervention identification, attribution prediction, and patient ranking and relevance. 
    • Architect systems to improve the relevance and drive business outcomes by making large, complex data sets more accessible. 
    • Work closely with Product Management, Practices, Sales, Customer Success, and other stakeholders to understand product usage patterns and trends and to make data-driven decisions and forecasts.
    • Maintain the security of protected patient health information.

    • As the engineering team grows, you will lift the people around you:
    • Mentoring and galvanizing new engineers to do their best work.
    • Working across disciplines to shape a product strategy and execution.

Qualifications:

    • BS/BTech (or higher) in Computer Science or a related field required
    • Ph.D. or Master's degree in a quantitative discipline (e.g., Computer Science[with AI/ML Major], Statistics, Operations Research, Economics, Mathematics, Physics) or equivalent practical experience.
    • 7+ years of experience developing and shipping code for production systems.
    • Experience working with large-scale distributed systems at scale and statistical software (e.g., Spark, SQL, Python, R, etc.)
    • Demonstrated leadership and self-direction. 
    • 4+ years of demonstrated proficiency scaling large scale machine learning systems, feature engineering, and model optimization. 
    • Proficiency in communicating analysis and establishing confidence among audiences who do not share your disciplinary background or training.
    • Experience with security and systems that handle sensitive data.
Who We Are:
Aledade, a public benefit corporation, exists to empower the most transformational part of our health care landscape - independent primary care. We were founded in 2014, and since then, we've become the largest network of independent primary care in the country - helping practices, health centers and clinics deliver better care to their patients and thrive in value-based care. Additionally, by creating value-based contracts across a wide variety of payers, we aim to flip the script on the traditional fee-for-service model. Our work strengthens continuity of care, aligns incentives, and ensures primary care physicians are paid for what they do best - keeping patients healthy. If you want to help create a health care system that is good for patients, good for practices and good for society - and if you're eager to join a collaborative, inclusive and remote-first culture - you've come to the right place.

What Does This Mean for You?
At Aledade, you will be part of a creative culture that is driven by a passion for tackling complex issues with respect, open-mindedness and a desire to learn. You will collaborate with team members who bring a wide range of experiences, interests, backgrounds, beliefs and achievements to their work - and who are all united by a shared passion for public health and a commitment to the Aledade mission.

In addition to time off to support work-life balance and enjoyment, we offer the following comprehensive benefits package designed for the overall well-being of our team members:
Flexible work schedules and the ability to work remotely are available for many roles
Health, dental and vision insurance paid up to 80% for employees, dependents, and domestic partners Robust time off plan 21 days of PTO in your first year 2 Paid Volunteer Days & 11 paid holidays
12 weeks paid Parental Leave for all new parents
6 weeks paid sabbatical after 6 years of service
Educational Assistant Program & Clinical Employee Reimbursement Program
401(K) with up to 4% match
Stock options
And much more!

At Aledade, we don’t just accept differences, we celebrate them!   We strive to attract, develop, and retain highly qualified individuals representing the diverse communities where we live and work. Aledade is committed to creating a diverse environment and is proud to be an equal opportunity employer. Employment policies and decisions at Aledade are based on merit, qualifications, performance, and business needs. All qualified candidates will receive consideration for employment without regard to age, race, color, national origin, gender (including pregnancy, childbirth or medical conditions related to pregnancy or childbirth), gender identity or expression, religion, physical or mental disability, medical condition, legally protected genetic information, marital status, veteran status, or sexual orientation.

Privacy Policy: By applying for this job, you agree to Aledade's Applicant Privacy Policy available at  https://www.aledade.com/privacy-policy-applicants
Full-time
Mid Level
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Senior Machine Learning Engineering Manager
Mountain View, United States
Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

We’re looking for a senior machine learning engineering manager to join our Central AI team and lead a group of talented engineers who are responsible for creating and deploying state-of-the-art machine learning models and algorithms. You will report directly to the head of engineering and work closely with the Central AI leadership team to define and execute the vision and strategy for AI modeling training and evaluation, as well as the cutting edge machine learning algorithms development. You will also collaborate with the AI platform team, federated product teams, and other stakeholders to provide the modeling, framework, and prompt engineering support for the federated product teams to accelerate the AI feature development across the board.



As the engineering manager, you will need to work with the product manager, AI platform team, federated product teams to:

    • Manage the end-to-end machine learning lifecycle, from data collection and preprocessing, to model development and deployment, to evaluation and monitoring.
    • Research and implement novel machine learning techniques and algorithms that can improve the performance, scalability, and robustness of our AI models and systems.
    • Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation.
    • Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence.
    • Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders.

Your background:

    • Master or PhD in a quantitative subject (Computer Science, Operations Research, or relevant work experience)
    • 5+ years of experience managing software engineering teams running core services at scale
    • Experience building and scaling machine learning models in business applications using large amounts of data
    • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
    • Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"
    • Agile development mindset, appreciating the benefit of constant iteration and improvement
Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.
Full-time
Senior
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Site Reliability Engineer, Systems
San Francisco, CA
We are looking for a Site Reliability Engineer who will ensure the high availability and performance of our Kubernetes clusters that power machine learning research and services.

About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Responsibilities:

    • Own Kubernetes clusters with thousands of nodes
    • Troubleshoot and resolve issues across the stack, from networking to applications
    • Improve monitoring, alerting, and incident response
    • Automate operations and infrastructure management
    • Partner with ML researchers and engineers to meet their infrastructure needs
    • Tune autoscaling and resource allocation for ML jobs
    • Build fault-tolerance into infrastructure to handle node failures
    • Monitor clusters and set up alerts/on-call playbooks
    • Migrate cloud deployments to Kubernetes using Terraform

You may be a good fit if you:

    • Have significant experience with Kubernetes and cloud-native infrastructure
    • Have a DevOps/SRE mindset: you enjoy debugging complex systems and automating solutions
    • Have strong communication skills to work with a range of technical and non-technical colleagues
    • Have an interest in the societal impacts of ML and a commitment to building robust, reliable systems

Strong candidates may also have:

    • Cloud infrastructure on AWS/GCP
    • Terraform/Infrastructure as Code
    • Monitoring/alerting tools like Prometheus/Grafana
    • Python and Linux SysAdmin skills
    • Significant experience with Kubernetes architecture and administration
    • Strong Linux skills and cloud infrastructure expertise
    • Familiarity with networking, caching, and storage optimizations
    • Track record of building resilient, scalable systems
    • Comfort debugging complex, distributed systems
    • Excellent communication and collaboration skills

Annual Salary (USD)

    • The expected salary range for this position is $250k - $450.
Logistics
Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!
Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Full-time
Mid Level
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Principal Product Designer
New York, New York
As one of the founding designers at Slang, you’ll work closely with the CEO, CTO, and Head of Product on the projects that drive our success. High impact is a trope in tech, but it’s definitely true here. You’ll influence the product vision and define design changes across the product. If you enjoy feeling the direct impact of your work on users, as opposed to the faceless masses (which is cool too we’re former big tech ppl so not judging), this might be your ticket to the moon.

As a founding member of the Slang design team, you’ll:

    • Help make AI phone answering technology useful and accessible to restaurant operators, who have way too much on their plate and need our help to fix the broken phone experience.
    • Be the first full-time design hire supported by an experienced Head of Product Design.
    • Work cross-functionally with engineers, PMs, and others on a diverse set of complex product challenges.
    • Help us understand our customer’s needs and experiences then devise product features, services, and systems to serve them better.
    • Contribute to the product roadmap using customer research insights and storytelling.
    • Help define our design and product development culture.

Skills & Experience

    • Generative user research: drafting lean user research projects and executing them solo or with a partner.
    • Information architecture: collaborating with engineers to make sure our back-end system architecture maps to our users’ mental models.
    • Interaction design: expertise in designing interfaces and flows for desktop and mobile web, especially B2B SaaS.
    • Design systems: experience using, maintaining, and expanding component libraries in Figma.
    • Figma prototyping: Good judgment about the level of fidelity a prototype should have to achieve its goals. Visual storytelling to help the broader team understand alternative product directions.
    • Programming: Understanding basic concepts and a working knowledge of HTML/CSS/Javascript.
    • Experience: 5+ years designing software products that shipped.

Nice to Haves:

    • Experience working as the sole designer or on a small team, preferably at a startup.
    • Designing with ML/AI.
    • Visual design: aesthetic sensibilities and experience designing beautiful interfaces.
    • Conversational design and UX writing.
    • Something else we haven’t listed here but you think is awesome!
$140,000 - $160,000 a year
Base salary.
Benefits
Competitive pay
Generous equity
Healthcare fully compensated
Generous vacation
Conference and education reimbursement, and (optional) career coaching
Quarterly offsites
$500 At-home office reimbursement

Our Vision
Calling a business shouldn’t feel like a robot-hostage situation, where you’re forced to listen to horrible music and can't reach a human, while enduring a soulless voice uttering "I'm sorry I didn't quite get that" on repeat for eternity. (shudder) That’s why we started Slang.aiWe use the latest AI and audio wizardry to make transacting via voice so enjoyable it’s more human than human. By 2030, we will save businesses and consumers 1 billion minutes of precious time while transforming voice channels into the preferred mode of communication (it's faster and easier than text).

We have backgrounds building product at companies like Spotify, Buzzfeed, the New York Times, and OpenTable —shipping experiences that have reached hundreds of millions of users. Now, we’re using our backgrounds to start a new culture, one that puts product and human-centered design above all else while fostering constant learning and growth. Sound like something you’d like to be part of? Get on board.

Our Values 
Build for better. If it doesn't make life better, we don't build it. We're obsessed with the experience of not just our end-users and their customers, but also our employees and anyone affected by what we create.

Collaborate playfully. You won't find any downers here. We don’t have a tiny violin. We're all on the same team, and we act like it. We support each other, joke around (appropriately), and keep our egos in low orbit. We dance when the music isn't playing and invite others to join. 

Keep growing. Growth requires an environment that encourages it and people who crave it. We lay the groundwork for both. By welcoming diverse perspectives that challenge our own thinking, we can amplify our individual and collective potential.

Give a sh*t. Everyone is an owner. We dive into any problem head-first and keep ourselves and others accountable. Why? Because we care about doing right by our end users, our customers, and all other stakeholders.

Make lightspeed look good. Moving fast allows us to better serve our customers and outrun the competition. Sometimes we drop the baton, but instead of getting upset about it, we learn and adapt. And even as we rocket ahead, we don’t sacrifice quality or settle for crappy code or poor design.
Full-time
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Hardware Engineer - High Speed Digital/Compute
Mountain View, CA
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

We are looking for a High-Speed Digital Hardware Engineer to join our team.

WHAT YOU’LL DO

    • Develop a compute strategy to support Anduril’s long-term product road-map
    • Develop high performance, high efficiency, and highly robust on-board computing solutions for autonomous platforms
    • Develop reliable on-board communication system to exchange high bandwidth data across computer, various sensor modules, and telemetry system
    • Architect, design, and build high-speed digital PCBAs (schematic capture, simulation, board layout)
    • Evaluate performance of CPUs, GPUs, and various machine learning accelerators/processor/IP and guide future directional development paths
    • Help decide what to do in-house and what to outsource, communicate design requirements with external vendors and help drive the progress
    • Work cross-functionally between software and hardware teams
    • Develop hardware bring-up and validation test plans, on bench top and on product

REQUIRED QUALIFICATIONS

    • Masters or Ph.D. degree in Computer Science, Electrical Engineering, or a closely related field
    • 5+ years of experience in compute hardware or computer engineering
    • Deep understanding of compute tradeoffs (thermal, mechanical, power, performance etc)
    • Experience with benchmarking and validating performance for complex compute architectures
    • Experience architecting platforms for high compute and memory requirements
    • Good understanding on high speed interfaces (PCIe, DDR, GMIII/RGMII, SATA, etc.), power integrity, signal integrity, EMI/EMC
    • Industrial experience shipping products such as computer motherboards, Ethernet switches, WiFi/cellular modems, GPUs, etc.  
    • U.S. Person status is required as this position needs to access export controlled data

PREFERRED QUALIFICATIONS

    • Experience with GPUs and DL inference chips
    • Knowledge of x86/Compute architecture
    • System development experience within standards such as: ISO-26262, ARP4754A, ARP4761, DO-178C, DO-254, IEC 61508
    • Experience in developing FPGA and ASIC architectures
    • Knowledge of state-of-the-art hardware systems, software tools and algorithms for interfaces required for sensors, actuators, firmware development, and vehicle/robotic bus architectures
    • Familiarity with autonomy software stacks and machine learning frameworks (TensorFlow, CUDA, etc.)
$160,000 - $240,000 a year
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in all offers and are considered part of Anduril’s total compensation package. Additionally, Anduril offers top-tier benefits, including comprehensive medical, dental, and vision plans, employee life and disability, mental health and family planning benefits with all premiums paid by Anduril. Anduril provides fully paid medical leave, paid company holidays, and paid time off. A professional development stipend is available to all Andurilians and all on-site meals are fully subsidized during the work week through use of our gourmet kitchens. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we’d love to hear from you!
Full-time
Senior
Computer Vision
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Data Hacker / Data Scientist
Somerville, MA
About Mobi

Mobi is building the next generation of travel technology infrastructure. The world’s leading travel brands use Mobi to deliver exceptional services at each stage of the travel process. End-to-end trip planning has long been the dream in travel tech – Mobi brings together all the pieces necessary to deliver concierge-level service, everywhere in the world. Founded in the research labs of MIT in 2012, we work, build, and learn together at our headquarters in Somerville, MA.


Working at Mobi

Because we’re in the travel space, we encourage everyone on the team to spend a month a year working from anywhere, which we support with a travel stipend. Beyond that, we offer competitive compensation and benefits that are becoming progressively more Scandinavian as we grow. We believe that you should be well-compensated for your work, that you and your loved ones should have access to outstanding health and wellness benefits, and that each employee should own a meaningful share of the value you help to create.

We welcome people with a range of backgrounds, identities, passions, and skills. We believe that difference breeds creativity. We know it’s not enough to hire people with diverse points of view: it is crucial to cultivate a culture of continued conversation. We are woman-led, and many identities are represented by the current team.


Your Role

As a Data Hacker / Data Scientist at Mobi, you will be responsible for gathering massive amounts of unstructured data from diverse sources like Wikipedia, Pinterest, global weather databases, and the like. You'll develop and implement algorithms and machine learning models to extract unique features, gather unique insights, and find cool discoveries from within huge amounts of data. Collaborating with cross-functional teams, you'll identify new data sources and potential features to enhance our products and services. You will rapidly prototype and test new ideas while focusing on scalability and production-ready solutions. You'll help less technical team members understand complex data analysis and models and continuously improve data processing and create pipelines for optimized efficiency, accuracy, and performance, always seeking opportunities for innovation, experimentation, and improvement. This role requires a strong passion for data, creativity, and new ways of making sense of the vast ocean of data on the internet.

The ideal candidates will have the following traits:

    • At least 9 years of experience in data science, data analytics, or a related field (but more probably, you’re the kind of person who has been playing around with data since you were 6 years old)
    • Strong passion for data, scraping, and hacking
    • Expertise in working with large, unstructured datasets and a variety of data sources
    • Advanced knowledge of machine learning algorithms and statistical methods
    • Proficient in programming languages such as Python or R, as well as experience with data processing tools like Spark or Hadoop
    • Demonstrated ability to quickly develop and iterate on prototypes before transitioning to production-ready solutions
    • Excellent communication and collaboration skills, with a knack for conveying complex ideas to less technical audiences
    • Strong problem-solving abilities and a track record of thinking creatively and delivering solutions to intractable problems


Benefits/Perks

We offer growth opportunities for motivated professionals and a great compensation package including:
– Competitive base salary + bonus + stock options
– Health/dental insurance, PTO, 401k plan
– Free choice of software development gear


Equal Opportunity

We are an equal opportunity employer; applicants, employees and former employees are protected from employment discrimination based on race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, and genetic information (including family medical history), or any other characteristic protected by law.
Full-time
Senior
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Senior Machine Learning Engineer
Mountain View, United States
Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Atlassian is looking for a Senior Machine Learning Engineer to join the Confluence AI team. This team builds and deploys AI/ML based on features within Confluence Cloud to delight customers, increase engagement and lead new revenue sources. This is a unique opportunity to work in a collaborative environment, implement modern machine learning techniques, including LLM (large language modelings), and have a remarkable impact within the enterprise SaaS industry.
Your future team
The Confluence AI team is tasked to lead the AI adoption with Confluence Cloud. Our team covers the whole lifecycle of feature development. The team's base is in Mountain View, CA, but the team is split geographically between the US West and East Coast. This is a remote-friendly opportunity. You will report to the Engineering Manager.

What you'll do

    • Manage AI/ML projects to achieve the desired outcome promptly
    • Mentor more junior team members
    • Identify opportunities to improve our productivity and bring the industry's best practices to the team
    • Investigate production issues and provide improvements to maintain high quality for our customers

On the first day, we'll expect you to have

    • Master or equivalent in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
    • 5+ years of related industry experience in the data science domain
    • Experience delivering impact in the domain of Content Recommendation, Text Classification, Knowledge Graphs.
    • Expertise in Java & Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
    • Experience building and scaling machine learning models in business applications using large amounts of data
    • Agile development mindset, appreciating the benefit of constant iteration and improvement

It's great, but not required, if you have

    • Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
    • Experience developing deep learning-based models and working on LLM-related applications
Compensation
At Atlassian, we strive to design equitable and explainable compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience.
In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $199,400 - $265,800
Zone B: $179,400 - $239,200
Zone C: $165,500 - $220,600
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
#LI-Remote

Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.
Full-time
Senior
ML Software Engineer
New York , NY
SeekAI is looking for an experienced machine learning software engineer to join our team and help us develop and deploy large-scale language models (LLMs) to power our product. We are a well-funded startup backed by top-tier VCs that is growing rapidly. Our company is headquartered in NYC and we meet once per week to co-work in person. We also work remotely with folks outside of NYC.

You will be responsible for training and creating inference infrastructure that supports commercial and private/in-house LLMs. If you have a strong enthusiasm for pushing the frontiers of artificial intelligence and a determined commitment to creating a significant influence, then this presents itself as the ideal opportunity

Responsibilities:
- Design and implement large-scale data pipelines that feeds tokens into LLMs
- Optimize code generation pipelines to ensure accuracy and reliability
 - Enhance inference infrastructure for code generation to reduce serving cost and latency while maintaining SeekAI’s SLAs
- Continuously improve commercial and private LLM performance and accuracy

 
The ideal candidate for this role should possess the following:
- Proven experience (3-5 years) with production systems working with large-scale LLM and Deep Learning systems
- Strong programming (e.g., Python) and software engineering skills in frameworks and tools such as DeepSpeed, Pytorch lightning, kuberflow, TensorFlow, etc.
- Solid background in algorithms, data structures, and object-oriented programming
- Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
- Demonstrates a strong sense of enthusiasm and autonomy, as we navigate technical challenges for a fast-paced startup environment
- Relentless curiosity for intricate challenges and finding effective solutions

What You Can Expect:
 
Career Growth
Our advisors are some of the most successful entrepreneurs in NYC and the Silicon Valley and they meet with us regularly to provide mentorship and connections as we grow Seek. As an early team member of Seek, you will have the opportunity to shape and scale a business pushing the envelope of NLP and building world-changing technology.
 
Healthy Company Culture
We're a results-driven organization. We don't care where you work or how many hours you put in as long as you get things done.
 
Benefits
Health, vision, and dental insurance
Take vacations, sick days, and mental health days when you need them--it's that simple
 
$150,000 - $180,000 a year
The annual base salary for this position is anticipated to be $150K ~ $180K based for the Greater New York area. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, and abilities. Our compensation package also includes equity.
This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer
Full-time
Senior
Natural Language Processing
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Senior Data Scientist (Sleep)
Boston, MA
WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level through a deeper understanding of their bodies and daily lives. It’s popular among Navy SEALs, healthcare, Fortune 500 CEOs, and professional athletes - if you’ve been to Fenway Park you’ve likely seen our office sign overlooking the field!

As a Senior Data Scientist on the Sleep Data Science team, you’ll develop algorithms to transform wearable sensor data into meaningful insights and metrics for the user to track and evaluate their sleep. Providing the highest quality sleep tracking and analysis is at the core of the business and a fundamental part of the WHOOP experience. You’ll work with colleagues of different backgrounds, including MLOps engineers, research scientists, software and hardware engineers, to conceptualize, develop, implement and deploy robust algorithms to analyze sleep data. You’ll also directly interface with the product team to identify opportunities to create novel sleep features. We’re looking for someone who has experience analyzing large datasets, developing ML models in Python, and who is excited about the use of wearables in the health and wellness space.

RESPONSIBILITIES:

    • Develop statistical and machine learning models on large datasets to build member-facing features 
    • Research a specific health, physiological, or fitness problem and apply latest advances in mathematical modeling, particularly on time series data, for example, through Bayesian causal inference
    • Collaborate with data and software engineers to productize models and algorithms and monitor model performance in the field
    • Work with MLOps engineers to stand up backend services that call trained production ML models
    • Collaborate with the product team to ensure we’re delivering maximal member-value
    • Mentor junior data scientists and engineers
    • Report to the Data Science - Sleep Technical Lead

QUALIFICATIONS:

    • Bachelor's Degree in Mathematics, Biomedical Engineering, Computer Science, or a related field. Master’s and/or PhD are preferred.
    • 3+ years of full-time professional experience in a related area
    • 3+ years experience applying advanced machine learning algorithms in a related field. Deep learning experience is preferred.
    • Significant experience working with time series data, preferably with sleep applications
    • Proficient in scientific Python, including object-oriented programming, and SQL
    • Experience with deploying production models, for example, through REST API and MLOps tools
    • Proficiency in data visualization
    • Excellent verbal and written communication skills
    • Ability to present findings to both internal and external stakeholders and communicate results to technical and non-technical audiences
    • Strong collaboration skills
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. 

Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.

WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility.
Full-time
Senior
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Senior Data Scientist (Threat Intelligence team)
Warsaw
Our Threat Intelligence team is dedicated to providing accurate and timely information on potential threats to our products. Our team of skilled professionals from various fields, including Data Science, Malware Research, Development, and Privacy, are focused on achieving a common goal by utilizing feeds, heuristics, algorithms, and machine learning.

Main Responsibilities

    • Design solutions to problems while researching, debugging, and analyzing data using different data sources;
    • Create scalable & reliable code, as well as write documentation for the parts that you’ve contributed to or explored;
    • Research, develop & deliver data science solutions to production;
    • Develops custom ML metrics that would help to monitor model performance;
    • Analyze validation/testing results, explain them, and improve model design accordingly;
    • Plan the deliverables with the team members;
    • Code reviews;
    • Constant communication about the progress;
    • Mentoring & knowledge sharing;
    • Suggest improvements to current solutions.

Core Requirements

    • Proven experience in data science and/or mathematical modeling;
    • Solid knowledge of statistics (e.g., Monte Carlo, hypothesis testing, bootstrap, Bayesian inference);
    • In-depth knowledge and hands-on experience in machine learning algorithms: linear regression, random forest, gradient boosted trees, neural networks, k-means, etc.;
    • Proficiency in Python and hands-on experience with the PyData stack (e.g., Pandas, Numpy, matplotlib) for analytics/machine learning;
    • Excellent problem-solving skills (researching, debugging, instrumentation);
    • Ability to break down and prioritize work, make informed decisions about which tools and algorithms to use for specific problems;
    • Team-driven mentality and ability to collaborate with other colleagues, as well as ownership;
    • Willingness to explore, grow and mentor others while keeping up with the latest innovations in data science.

Salary Range

    • Monthly gross salary from 16819 to 29727 PLN.
About Us


Nord Security is a global leader in internet privacy and security solutions and Lithuania’s second tech unicorn. Established in 2012, Nord Security now has more than 1400 employees and serves millions of users worldwide. Our team has a global mission to shape a more secure and peaceful online future for people everywhere.
With that in mind, we built 4 advanced cybersecurity solutions: NordVPN, NordLayer, NordLocker, and NordPass.

NordVPN is the world’s most advanced VPN service provider, used by millions of internet users worldwide. NordVPN provides double VPN encryption and Onion Over VPN and guarantees privacy with zero tracking. One of the key features of the product is Threat Protection, which blocks malicious websites, malware, trackers, and ads. NordVPN is very user friendly, offers one of the best prices on the market, and has over 5,000 servers in 59 countries worldwide.

And we’re always looking to expand our team of :

• Future shapers
• Restless achievers
• Self-movers
• Honest communicators
• Team players

What We Offer

 • Access to Nord Security products. We build solutions used by millions of users worldwide, and you’ll get to experience our products firsthand, at no charge; 
Professional growth. Internal and external events, online training, conferences, books - everything you need to reach full potential; 
Health benefits. Private health insurance, sports access card, online workouts, consultations, programs to improve mental health to feel and be your best;
Mental wellbeing. Access to mental health tools like Calm, Headspace, and Mindletic. Options for therapy to keep your emotional wellbeing in check; 
Team spirit. Team buildings and parties with games, shows, tastings, food coupons, gifts, and it’s on us; 
Additional paid leave. Additional days are covered by us in cases of illness or special occasions; 
Flexibility. Flexible working time arrangement.
Full-time
Senior
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Head of Content
Remote (USCanada) /
We believe AI will be embedded in today's businesses and help people start tomorrow's businesses. Our SaaS product allows entrepreneurs, marketers, and copywriters to use the latest natural language processing (NLP) models to improve their communication and accomplish business goals.

Over 8 million users have signed up to use our application and we're eager to deliver more value for them. Investors in our recent $11 million Series A round include Zach DeWitt at Wing Ventures, David Sacks at Craft Ventures, Li Jin at Atelier Ventures, Alfred Lin at Sequoia, and 80+ other investors. In March 2022, Forbes identified Copy.ai as one of the language processing AI startups part of a billion-dollar wave.

We’re a scrappy startup so this role is what you make of it, but we’ll help you every step of the way. You’ll be able to look back and see your impact as we grow and evolve. There’s a lot to take on, but we trust that you’re up to the challenge.

Copy.ai is a remote company. All employees must be able to work 9am-5pm in any timezone Pacific to Eastern.

Copy.ai has an exciting opportunity to bring on a Head of Content to tell our story and drive our strategy to position us as thought leaders the generative AI space, ultimately creating a new category. This role will drive the development of compelling and informative content for both consumers and enterprises to make any exposure to our brand truly memorable. This pivotal member of the team must be data-driven and have a love for AI, early-stage, product-led growth (PLG) startups. Ideally, you've stood up a content program and its infrastructure in past early stage roles and can execute from a strategic and tactical lens.

What you'll do:

    • Manage the team's editorial calendar, ensuring the seamless and timely delivery of content. You'll collaborate with stakeholders to meet deadlines and maintain our content's quality and consistency.
    • Develop content and storytelling strategies that not only drive business but also create genuine connections with our brand. Your innovative ideas will be the driving force behind our content initiatives.
    • Support major launches and company milestones, including product launches, consumer activations, campaigns, thought leadership, and category building. Your expertise will help us make these moments unforgettable.
    • Develop and execute a comprehensive editorial content strategy that not only serves our users but also propels Copy.ai's growth. Your strategic insights will fuel our content's impact.

About you; You bring to the table:

    • 5+ years of relevant work experience owning content at a PLG or enterprise SaaS tech startup
    • Communication: Excellent verbal, written, and presentation skills with a clear and warm communication style that engages both our team and our audience.
    • Creativity: A disruptive thinker who's not afraid to take risks, try new things, and challenge the status quo. We value creative minds that push boundaries.
    • Flexibility and Resourcefulness: You thrive in a fast-paced, changing, and growing environment.
    • A strong execution mindset: We're moving fast, and there's a lot to do every day. You don't mind getting scrappy to get the job done.
    • A general knowledge of SEO best practices, and the ability to implement an SEO roadmap that drives both traffic and sales opportunities.
    • Experience managing both internal and agency contacts to support in scaling capabilities of a growing content team
    • Strong leadership skills to inspire and motivate your team, enabling them to unleash their creative potential.
*Copy.ai is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We encourage applications from people of all races, religions, national origins, genders, sexual orientations, gender identities, gender expressions and ages, as well as veterans and individuals with disabilities.*

What We Offer 😎:

👫 A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters; 40 team members as of 08/2023
💰 Competitive salary and stock option equity packages; We're a Series A startup
🏥  Excellent Medical Plans to choose from including HSA plans, PPOs, and HMOs from Kaiser and Aetna; Dental and Vision insurance; Copy.ai pays up to $700/month per employee for monthly premiums
🏠 100% REMOTE startup! Our team is distributed all over the US and Canada
🛫UNLIMITED PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation
📈 401k plan and automatic 3% employer contribution from Day 1!!!!
💻 Brand new work-sponsored computer
🏝  IRL / In-Person retreats throughout the year


Copy.ai Organizational Values:

⭐️ Customer focus
⭐️ Transparency
⭐️ Data driven
⭐️ Dog-fooding
⭐️ Writing
⭐️ Creativity
⭐️ Learning
⭐️ Ownership 
Full-time
Senior
Natural Language Processing
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Senior Taxonomist (USA)
USA
About the role
We are seeking a highly skilled and experienced Senior Taxonomist to spearhead efforts and steer strategy and priorities in uplifting our metadata and taxonomy, from researching & conceiving of new valuable taxonomies, to modeling & implementing structured metadata solutions, to championing metadata & taxonomy standards and execution throughout the organization. The impact of this role will be felt far and wide across the business internally and externally and will enable more innovative and delightful experiences for our users, and growing Envato’s global business.  

**Please note this is a remote role and we are only considering applications based who live in the pacific or mountain timezones and are open to starting your day a little later so there is cross over with our ANZ teams**

About the team
Our content and author team is a large team spread across our 3 global hubs; Australia, Mexico and the US. On the content side, the team is responsible for our content strategy and operations regarding the review and curation of our assets. On the author side they are responsible for everything connected to our authors, including author management, sales and recruitment and the overall engagement of our authors.

We’re in an exciting phase where we’re upgrading our core content platform to support the growing and future needs of the Envato ecosystem, particularly in the creative digital asset space at the heart of Envato’s business. As part of this, we believe there is a massive opportunity to level up our approach to taxonomy and metadata as a core capability, that will help us unlock even more value from our creative asset catalogue and supercharge the value we bring to customers.  We see incredible potential in investing in the underlying metadata and variety of unique characteristics surrounding the creative content on our platform, including possibilities for developing new products and revenue streams in the future. This is where you come in and as our first taxonomist can help us to identify unique opportunities and challenges surrounding our leading breadth of creative digital assets, the scale of our product ecosystem and user base and especially the recent explosion around artificial intelligence and generative AI capabilities.

Responsibilties

    • Scope, create, and maintain comprehensive taxonomies, metadata schemas, and ontologies to support various domains and business requirements
    • Own and steward our taxonomy & metadata cross-functionally, effectively collaborating with stakeholders, including product managers, engineers, data scientists, content strategists, and other relevant teams, to gather requirements and implement taxonomies effectively that drive business, product and customer outcomes
    • Lead taxonomy projects from conception to implementation, including designing classification systems, creating tagging guidelines, and establishing governance processes
    • Evaluate and enhance existing taxonomies and metadata models, making iterative improvements based on user feedback, data analysis, and evolving industry trends
    • Conduct research and analysis to identify user needs, business goals, and industry best practices, ensuring taxonomies align with these factors
    • Collaborate with user research and data analytics teams to test and optimise taxonomies for improved search results, discoverability, and user satisfaction
    •  Provide guidance and support to content creators / curators and operational teams to ensure accurate and consistent application of taxonomies and metadata
    • Advocate for the value of taxonomies and structured data across the organisation, promoting their benefits and educating stakeholders on best practices, and achieving buy-in for new taxonomy-related processes and governance policies
    • Stay up to date with industry trends, emerging technologies, and advancements in information organisation, and incorporate relevant insights into taxonomy strategies

Skills and Experience

    • You live in the pacific or mountain timezones and are open to starting your day a little later so there is cross over with our ANZ teams.
    • Minimum of 5 years of experience in taxonomy development, information architecture management, data design, or a similar role
    • Experience working on taxonomy for a digital business is a must-have
    • Proficient in designing and managing taxonomies, metadata schemas, and controlled vocabularies
    • Familiarity with industry leading taxonomy management software and tools, including hands-on experience with configuration and implementation at scale
    • Experience with user research and data analysis methodologies to inform taxonomy design and improvements
    • Excellent written and verbal communication skills, with the ability to effectively articulate complex concepts to diverse audiences.
    • Proven analytical/research skills and problem-solving abilities, structuring ambiguous problems clearly, with the ability to translate complex information into intuitive and user-friendly solutions.
    • Strong attention to detail and ability to maintain data integrity and quality
    • Experience collaborating with cross-functional teams, including engineers, product managers, designers, and data scientists.
    • Ability to work independently, prioritise tasks, and meet deadlines in a fast-paced environment, with a roll-up-the-sleeves attitude and strong bias towards action.
    • You have a continuous improvement mindset - looking for opportunities where you can make the largest impact and seeing it through

Full-time
Senior
Senior Software Engineer - Autonomous Driving Project (Perception)
Seoul (HQ)
Seoul Robotics is a tech company with the mission “Making Robots intelligent”. We are a 3D computer vision company that uses AI and deep learning to power the future of autonomy.
We strongly believe it is time to make society better with our technology. This position is a great opportunity to join a company invested in engineering for the future.


Responsibilities

    • Research and develop an robotics perception software products and algorithms for large scale autonomous driving projects
    • Evaluate measurements from real road traffic and evaluate deviations and optimise the algorithms and the software implementation in interaction with the sensor hardware.
    • Technical discussion and negotiation in regards of customer requirement and scope of work with business stakeholders
    • Troubleshoot system application on customer's request, resolve engineering issues, conduct regular follow-ups

Qualifications

    • B.S., M.S. or Ph.D. in CS, EE, ME, with minimum 3+ years of work experience
    • Experience with lidar perception and lidar, camera sensor fusion
    • Very good understanding of fundamental machine learning techniques (e.g. svm, tree based models, clustering)
    • Strong mathematics skills - linear algebra, optimization, probability, and statistics.
    • Experience implementing math effectively in software; experienced in Eigen, Ceres, etc.
    • Strong background in core problems in robotics such as Bayesian state estimation and Slam.
    • Fluent in C++  programming including concurrency programming
    • Familiarity with software design patterns and architecture maintenance
    • Curious, self-motivated, and excited about solving challenging problems

Preferences

    • Experience in developing 2D/3D computer vision and/or 3D graphics applications
    • Experience in distributed system development
    • Experience in robotics software systems such as Robot Operating System
    • Experience in network programming (e.g., TCP and UDP)
    • Start-Up experience
▷ International Team
▷ English is a must, Korean is optional
▷ Hybrid work with working 2 days per week in the office (Seocho-gu)
▷ 15 vacations a year (Free to use)
▷ No dress code
▷ Support the best equipment for work
▷ Premium health check (Once a year)
▷ Support books, seminars and conferences for growth

Process:
Apply ▷ 1. Recruiter Interview ▷ Live Coding Interview ▷ Assignment ▷ Final Interview with the Hiring Manger ▷ Join!

Full-time
Senior
Computer Vision
Logo
Data Scientist
Los Angeles, California, US
Our Mission

As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing.
 
We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.

Our Values

• One Team, One Dream: We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. 
• Own It: We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. 
• Never Stop Learning: We cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.
• Spark Solutions: We’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. 
Embrace Our Differences: We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. 

The Team
The Analytics team powers data-informed decision-making at Tinder. We are looking to add a creative Data Scientist to our growing Analytics team. As a Data Scientist I on the Analytics team, you will partner with Product, Marketing, Engineering, and Finance to improve our outstanding platform.

You will use comprehensive datasets to develop experiments, understand metrics, develop automated reports, and generate exploratory insights to guide our business solutions. You will collaborate with other members of our team to surface important insights - exploratory analysis, experiment results, collaborations with other teams (consumer insights/strategy/etc) - to our partner teams and across the company. These insights influence both the performance of our business and the experience of our members.

This role has the opportunity to work on either the Core, Revenue, or Growth features of the Tinder app - during the interview process, we will work closely with you to define what team would be the best match.

Where you’ll work:
This position can be located in Los Angeles,CA or San Francisco, CA.

What You'll Do:

    • Design and analyze experiments to rigorously test a specific hypothesis.
    • Find the “story” in the data and readily share insights with product, engineering, and design as well as at a company level.
    • Be an authority with a point of view for the organization, using data to constantly challenge and reshape our current understanding of customer behavior and business performance.
    • Derive and communicate data-driven recommendations regarding both the prioritization of potential product/marketing initiatives and performance of current initiatives.
    • Define and operationalize the detailed tracking of company-wide, team-specific, and product-specific performance metrics via rollout tables, dashboards, and automated reporting.

About You:

    • Bachelor’s degree in a quantitative field (e.g. Economics, Computer Science, Statistics), Master’s degree or PhD preferred.
    • 1-2 years of professional working experience in Data Science and/or analytics preferred.
    • Experience with SQL and data visualization tools (e.g. Tableau or Mode) is a plus, not required.
    • Familiarity with scripting languages, machine learning, sophisticated statistical techniques - A/B experience is a plus, not required.
    • Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data.
    • Eagerness to identify and explore new product opportunities, potential improvements to our data infrastructure, and unanswered questions about member behavior.
    • Comfort using descriptive and inferential statistics.
    • Curiosity of how things work, from both a business and technical perspective.
    • A collaborative growth mindset with a dedication to community-based projects and partnerships.

As part of the team, you'll enjoy:

    • Unlimited PTO (with no waiting period), 10 annual Wellness Days
    • Time off to volunteer and charitable donations matched up to $15,000 annually 
    • Comprehensive health, vision, and dental coverage
    • 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)
    • 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation
    • Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development
    • Investment in your wellness: access to mental health support via Modern Health, BetterHelp, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy
    • Free subscription to Tinder Gold
$95,000 - $114,000 a year
Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.
Commitment to Inclusion

At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei
Full-time
Junior
Logo
Principal Machine Learning Scientist
Sydney, Australia
Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Atlassian is looking for a remote Principal Machine Learning Scientist to join our Core Machine Learning team. The Core Machine Learning team builds and deploys ML modelling solutions to increase revenue generation, expand our active user base and enhance internal productivity and efficiency. This is a unique opportunity to work in a collaborative environment and implement the latest advanced machine learning techniques.

Your future team

The Core Machine Learning team sits within the Data Science group in the Atlassian Corporate Engineering Organization. We work with several business teams in growth, product, and many other teams providing machine learning infrastructure and modelling applications. Our team consists of ML scientists and engineers, and provides many opportunities for collaboration, knowledge sharing, and individual growth. The team is split geographically between the Australia and the US, supporting partners across the regions.
You will report to the Core Machine Learning Senior Manager.

What you will do

    • As a Principal Machine Learning Scientist, you will lead the development of advanced machine learning algorithms, collaborating with partners in Product, Engineering, and Analytics
    • You will lead AI/ML projects aimed at personalising recommendations to improve product usage and increase customer revenue across multiple user touch points.
    • Explain data science and machine learning concepts to non-technical, diverse audiences and create a compelling story.
    • Be a tech lead for more junior Machine Learning Scientists, providing technical guidance.

Your Background

    • 5+ years of related industry experience in the machine learning domain
    • Expertise in Python with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
    • Experience building and scaling machine learning models in business applications using large amounts of data
    • Experience working with novel machine learning methods, such as reinforcement learning for advertisement recommendation or deep learning.
    • Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognise the business benefit of "having something now" vs "perfection sometime in the future"
    • Agile development mindset, appreciating the benefit of constant iteration and improvement

Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.
Full-time
Senior
Logo
Senior Machine Learning Engineer - Fintech Foundation (Remote)
Remote-US
Hopper is continually redefining how people travel, combining a best-in-class travel agency with a portfolio of proprietary fintech offerings that give our customers peace of mind when booking travel.  More than 100M monthly active users are exposed to our products through our mobile app and a growing list of partners such as CapitalOne, Uber, Nubank, and Air Canada.  With a real-time feed of 50B+ priced itineraries daily along with more than ten years of history and multiple external data sources, we have unparalleled insight about pricing and demand trends.

This is a unique opportunity to join our growing Fintech Foundation team and help millions of people travel better, for less. Our team enables our product teams to deliver new products to market faster; produce better quality pricing and provisioning models faster; and be more responsive to changing market conditions, product construction and service outages.   As a Senior Machine Learning Engineer, you will be directly responsible for developing the services and tooling on our golden path for model development and delivery in collaboration with our product engineers, data scientists and product managers.  This will include aspects of our feature platform, model pipeline automation, model deployment and observability infra, and ownership of several tier-one production services.

In this role, you will:

    • Build the next generation of our predictive modeling infrastructure, setting standards for code and performance
    • Tame huge volumes of real-time streaming data and simplify access to offline data for model development
    • Work in a complex dynamic environment with a rich API tier
    • Collaborate with a diverse group of people, giving and receiving feedback for growth
    • Execute on big opportunities, helping Hopper’s continued rise to the top of the travel industry

A perfect candidate has:

    • Thrived with machine learning techniques and technology for model development and deployment, particularly in the Google Cloud Platform environment 
    • Experience designing streaming data systems with tools such as GCP Dataflow, GCP PubSub, Kafka, Flink, or Akka/Pekko Streams.
    • Experience with traditional batch ETL tools like Airflow and SQL is also an asset.
    • Familiarity with Scala (or other functional, statically-typed languages) for backend development and Python for ML automation
    • Expertise with various data stores (transactional and warehouse) such as Spanner and BigQuery
    • Comfortable mentoring and leading people at different stages in their career
    • Excel in cross-functional teams, working with Product Managers, Data Scientists, full stack Engineers, and other highly skilled specialists
    • Passion for quality; writing robust, performant and testable code for our customers
    • Comfortable being on-call for critical production services relied upon by all of Hopper
#posttoexternal

MORE ABOUT HOPPER


At Hopper, we are on a mission to become the world’s best — and most fun — place to book travel. By leveraging massive amounts of data, advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to help customers spend less and travel better. Ranked the third largest online travel agency in North America, the app has been downloaded nearly 80 million times and continues to gain market share globally.

Here are just a few stats that demonstrate the company’s recent growth:

- Hopper sold around $4 billion in travel and travel fintech in 2022, up nearly 3X over 2021. In 2022, Hopper increased its revenue 2.5X year-over year.

- The company’s bespoke fintech products, such as Flight Disruption Guarantee and Price Freeze, now represent 30-40% of Hopper’s total app revenue. 

- Given the success of its fintech products, Hopper launched a B2B initiative called Hopper Cloud in late 2021. Through this partnership program, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory. As its first Hopper Cloud partnership,

- Hopper partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders.

- Recognized as one of the world’s most innovative companies by Fast Company four years in a row, Hopper has been downloaded over 80 million times and continues to have millions of new installs each month. 

- Hopper has raised over $700 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. Hopper is primed to continue its acceleration as the world’s fastest-growing mobile-first travel marketplace. 

Come take off with us!
Full-time
Senior
Principal Machine Learning Human
Boise, Idaho
High Point Aerotechnologies
 
Have you recently found yourself in the middle of a hostile robot take over?  Are your loved ones being farmed as an inefficient power source because of your favorable views towards humanity?  Join us and take your stand in protecting humans from bad robots.  We formed a rebel enclave to provide world-class counter-autonomous systems, products, and services to support the United States and foreign allied governments, civilian critical infrastructure, and public venues. Our mission is to protect humans and property from autonomous and remotely-piloted, uncrewed systems (UxS) threats.  Help us support this mission by advancing the state-of-the-art in computer vision, Machine Learning, sensor fusion, human-machine interfaces, and target tracking.
 
Our team designs and builds world-class Counter-Robot systems to provide persistent protection across varied threat environments and mission sets. We manage the entire Counter-Robot kill chain from detection through countermeasures. Our systems are designed for autonomous detection, classification, tracking, and multiple kinetic, cyber, and low- collateral defeat capabilities to decommission Bad Robots… permanently.
 
Job Description
 
As a Machine Learning Researcher, you will operate as a technical lead in data analytics programs at High Point Aerotechnologies, HPA.  Your primary objective is to improve the data products provided through our sensor suite by reducing false alarms and easing the cognitive burden of system operators.  The Counter-UxS mission area requires multiple sensors (radar, cameras, passive RF, LiDAR, acoustic, and more) operating in concert to reduce target ambiguity.  You will develop multiple models for individual sensing and composite sensing as needed to reduce target classification time and increase classification accuracy.  You will be expected to have competency in developing sensor models across multiple sensing modalities.
 
You will work across multiple areas of development.  Initially, you will develop methods for detection of UxS using individual sensors.  You will work with teams of data analysts, systems engineers, and software developers on a Design of Experiments to collect sufficient data for training of sensors in a relevant environment.  You will also develop methods for life-long learning of deployed sensor systems to improve performance across the different environmental conditions of our globally deployed systems.  Later, you will work into composite models which will learn across multiple sensors.
 
You will be expected to have knowledge of modern approaches to Machine Learning architecture, data analytics, and designs of experiments.  You will lead the team in development across the full Machine Learning lifecycle in collecting data, data curation, data analysis, model training, model testing, deployment, and continual learning.  All of humanity is depending on you to get this right, no pressure!

Travel Requirements

The job is posted as a remote position; however, there is an expectation of travel to interface with the team, learn company products, conduct necessary data collections, work with industry partners and meet with customers. Travel expectations for a remote applicant can be as high as 50% during critical program periods. If located in/re-located to Boise, travel expectations would be 20%.

Job requirements

    • Identify bad robots posing as humans among our ranks.
    • Develop and implement Machine Learning models to extract valuable insights from complex datasets.
    • Lead collaboration with cross-functional and cross-company teams to define data requirements setup a Designs of Experiments, data collection, data curation, and other preparation processes.
    • Understand the data and the data structures from each sub-system.
    • Design and execute exploratory data analysis techniques to identify patterns, trends, and anomalies in datasets.
    • Work closely with our software engineering team to integrate Machine Learning models into existing software systems, ensuring scalability and robustness.
    • Optimize and fine-tune Machine Learning algorithms for performance improvements and enhanced accuracy.
    • Participate in the Software Development life-cycle to productize the Machine Learning models developed.
    • Architect data pipelines within the current software tools to improve accessibility of data.
    • Stay current with the latest developments in Machine Learning, data analytics, and software integration, and apply innovative approaches to drive business growth.
    • Work with industry standard tools and train team on tools as necessary.
    • Maintain competency by staying current in the field of Machine Learning and Artificial Intelligence.
    • Lead in training and mentoring junior Machine Learning talent within the organization to raise up the next generation of resistance.

Qualifications

    • Bachelor's or Master's degree in Computer Science, Data Science, or a related relevant field.
    • Preferred academic degree involving Machine Learning
    • Proven experience (5+) years in developing and implementing Machine Learning Models, with a strong portfolio showcasing successful projects.
    • High proficiency in Python for Data Science and Machine Learning.
    • Proficiency in other programming languages such as R, and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
    • Knowledge of Machine Learning methods such as feature learning, supervised learning, unsupervised learning, and semi-supervised learning.
    • Solid understanding of data analytics techniques and tools, including data visualization, statistical analysis, and data mining.
    • Hands-on experience with software integration, API development, and familiarity with cloud platforms (AWS, Azure, GCP).
    • Strong problem-solving skills and the ability to collaborate effectively in cross-functional and cross-disciplinary teams.
    • Excellent communication skills to convey complex technical concepts to both technical and non-technical stakeholders.

Compensation and Benefits

    • Competitive salary and performance-based bonuses
    • Comprehensive benefits package, including health insurance, retirement plans, and more
    • Opportunity to lead and shape high-performing technical teams
    • Collaborative and inclusive work environment with a focus on professional development
    • Ability to take a stand against the Robot invasion
High Point Aerotechnologies provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 
 
This of course only applies to humans.  We have strict policies against the hiring of Robots.  
Full-time
Senior
Computer Vision
Logo
Senior Machine Learning Engineer- Price Freeze (100% remote)
New York City
About the job

In this role you will be part of a cross-functional team of product managers, designers, and engineers in the creation of data-driven Fintech products that make travel planning easier and deliver them to millions of users.

This role has a tremendous impact on the vision and success of the company. It's a unique opportunity to join one of the most innovative teams, get access to fascinating and massive data sets with market and behavioral data, a huge personal growth trajectory, and a high potential upside of pre-IPO stock options.

We are looking for someone who has a real bias for action, takes ownership, thrives on autonomy and delivers results. A smart creative with a proven record of solving hard problems and deep understanding of data, product and business.

An Ideal candidate has:

    • Coding abilities with languages like Python, SQL, etc.
    • Strong problem-solving skills, and critical thinking competencies
    • Statistics Commercial Awareness (works backwards from making money to the business)
    • Industry experience (e.g. Booking, Uber, Lyft, google, Facebook, Zillow etc)
    • Has deployed ML algorithms into production using latest technologies (i.e. Docker, Kubernetes, etc)
    • Has a proven track record of solving complex problems with in depth understanding of data, product and business impact
    • Has experience with data visualization tools (Tableau, Amplitude, Big Query)

Perks of working with us:

    • The base pay for this position ranges from 100 000$ to 190 000$. Compensation will be determined by candidates’ relevant qualifications, knowledge, skills and work experience. Total compensation may also include equity (options / RSUs), sign-on bonus and other potential incentives
    • Unlimited PTO
    • WeWork All Access Pass OR Work-from-home stipend
    • Entrepreneurial culture where pushing limits and taking risks is everyday business
    • Open communication with management and company leadership
    • Small, dynamic teams = massive impact
    • 100% employer paid medical, dental, vision, disability and life insurance plans
    • Access to a 401k 
More about Hopper

At Hopper, we are on a mission to become the world’s best — and most fun — place to book travel. By leveraging massive amounts of data, advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to help customers spend less and travel better. Ranked the third largest online travel agency in North America, the app has been downloaded over 100 million times and continues to gain market share globally.

Here are just a few stats that demonstrate the company’s recent growth:

Hopper sells $6 billion worth of travel and travel fintech every year; 2022 sales were up 3X over 2021. In 2022, Hopper increased its revenue 2.5X year-over year.

The company’s bespoke fintech products, such as Flight Disruption Guarantee and Price Freeze, now represent around 50% of Hopper’s total app revenue. 

Given the success of its fintech products, Hopper launched a B2B initiative called Hopper Cloud in late 2021. Through this partnership program, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory. As its first Hopper Cloud partnership, Hopper partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders.

Other partners include Marriott, Uber, Agoda, CommBank and many more to be announced. 

Hopper Cloud now comprises more than 50% of Hopper's business; Hopper Cloud made around as much in 2022 as all of the Hopper app did in 2021.

Recognized as one of the world’s most innovative companies by Fast Company four years in a row, Hopper has been downloaded over 100 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agency in North America. 

Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. Hopper is primed to continue its acceleration as the world’s fastest-growing mobile-first travel marketplace. 

Come take off with us!


Full-time
Senior
Logo
Senior Machine Learning Engineer- Price Freeze (100% remote)
United States, United States
About the job

In this role you will be part of a cross-functional team of product managers, designers, and engineers in the creation of data-driven Fintech products that make travel planning easier and deliver them to millions of users.

This role has a tremendous impact on the vision and success of the company. It's a unique opportunity to join one of the most innovative teams, get access to fascinating and massive data sets with market and behavioral data, a huge personal growth trajectory, and a high potential upside of pre-IPO stock options.

We are looking for someone who has a real bias for action, takes ownership, thrives on autonomy and delivers results. A smart creative with a proven record of solving hard problems and deep understanding of data, product and business.

An Ideal candidate has:

    • Coding abilities with languages like Python, SQL, etc.
    • Strong problem-solving skills, and critical thinking competencies
    • Statistics Commercial Awareness (works backwards from making money to the business)
    • Industry experience (e.g. Booking, Uber, Lyft, google, Facebook, Zillow etc)
    • Has deployed ML algorithms into production using latest technologies (i.e. Docker, Kubernetes, etc)
    • Has a proven track record of solving complex problems with in depth understanding of data, product and business impact
    • Has experience with data visualization tools (Tableau, Amplitude, Big Query)

Perks of working with us:

    • The base pay for this position ranges from 100 000$ to 190 000$. Compensation will be determined by candidates’ relevant qualifications, knowledge, skills and work experience. Total compensation may also include equity (options / RSUs), sign-on bonus and other potential incentives
    • Unlimited PTO
    • WeWork All Access Pass OR Work-from-home stipend
    • Entrepreneurial culture where pushing limits and taking risks is everyday business
    • Open communication with management and company leadership
    • Small, dynamic teams = massive impact
    • 100% employer paid medical, dental, vision, disability and life insurance plans
    • Access to a 401k 
#posttoexternal

MORE ABOUT HOPPER


At Hopper, we are on a mission to become the world’s best — and most fun — place to book travel. By leveraging massive amounts of data, advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to help customers spend less and travel better. Ranked the third largest online travel agency in North America, the app has been downloaded nearly 80 million times and continues to gain market share globally.

Here are just a few stats that demonstrate the company’s recent growth:

- Hopper sold around $4 billion in travel and travel fintech in 2022, up nearly 3X over 2021. In 2022, Hopper increased its revenue 2.5X year-over year.

- The company’s bespoke fintech products, such as Flight Disruption Guarantee and Price Freeze, now represent 30-40% of Hopper’s total app revenue. 

- Given the success of its fintech products, Hopper launched a B2B initiative called Hopper Cloud in late 2021. Through this partnership program, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory. As its first Hopper Cloud partnership,

- Hopper partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders.

- Recognized as one of the world’s most innovative companies by Fast Company four years in a row, Hopper has been downloaded over 80 million times and continues to have millions of new installs each month. 

- Hopper has raised over $700 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. Hopper is primed to continue its acceleration as the world’s fastest-growing mobile-first travel marketplace. 

Come take off with us!
Full-time
Senior
Logo
Front End Software Engineer, Central AI (QHP-29799)
Mountain View, United States
Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Atlassian is seeking a frontend engineer to join our Central AI team. The Central AI organization constructs the fundamental infrastructure, data pipeline, frameworks, and other capabilities to expedite AI feature development throughout the entire company.

Your future team
The Central AI org is part of the larger Atlassian Intelligence program. Its purpose is to accelerate AI innovation across all our products and platform, provide cohesive AI experiences and setup up an Atlassian AI infrastructure for the future.
We are hiring a Frontend Software Engineer, reporting to an Engineering Manager. Here, you will work closely with design and product management, influencing the direction of the product and collaborating with the team to achieve our goals. You will write code and deliver product capabilities that you can be proud of, providing amazing results that our customers love and helping us build the best-in-class AI products!

What You'll Do:

    • Deliver large and complex projects autonomously, from technical design to launch
    • Build client code that is efficient, fast, testable, scalable, and high quality.
    • Promote collaboration with other engineers, designers and managers to understand user pain points and iterate to deliver solutions
    • Partner with design and product and across other engineering teams to develop delightful customer experiences
    • Contribute to code reviews and documentation, and take on complex bug fixes
    • Explore and design innovative interaction models that help users leverage generative AI in their daily tasks.

Your Background:

    • Bachelor or Master in computer engineer for equivalent subjects
    • 2+ years of related industry experience in building large scale front end experiences
    • Understanding of modern frontend ecosystem, including but not limited to bundling, linting, testing and releasing.
    • Experience with modern testing frameworks (e.g., Jest, Cypress, Mocha, Chai)
    • Familiarity of the JavaScript language and ecosystem
    • Experience building frontend applications at scale
    • Experience in Agile software development methodologies
    • Experience engineering software systems of medium-to-large scope and complexity
Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.
Full-time
Mid Level
Logo
Senior Machine Learning Engineer , UIP Customer Value Measurement & Intelligence
Bengaluru, India
Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Our Team
We are the UI Platform Customer Value Measurement and Intelligence team. The UI Platform organisation builds the tools, libraries and infrastructure that powers the development of Atlassian’s web applications. We give Atlassian teams everything they need to build web experiences that our customers love.
The Customer Value Measurement and Intelligence team is focussed on building tools that help developers measure, analyse and improve the performance of their experiences. As well as we apply ML and generative AI capabilities to improve developer productivity. Our platform is leveraged by our biggest products including Jira and Confluence. There is no such thing as a slow productivity tool, so our team’s mission is critical to Atlassian’s success! This is a growing team with plenty of opportunity to deliver big impact.

On your first day, we'd love for you to have

    • 5yrs+ experience of building modern data driven applications utilising Machine Learning and/or Generative AI ecosystem.
    • 5yrs+ experience with open source ML libraries like pyspark, mllib, scikit-learn, langchain.
    • Exposure to capabilities of Generative AI models like chat-gpt, llama2.
    • Experience working with ML Platform and infrastructure like AWS Sagemaker, LLMOPS/MLOPS, Vector Databases.
    • A passion for utilising ML techniques to solve customer problems.

It's great, but not required if you have

    • Knowledge of open-source libraries, tools, and frameworks (e.g. for logging, wiring, testing, building)
    • Some industry experience with public cloud offerings (e.g., AWS, GAE, Azure)
    • Ability and willingness to learn new programming languages, frameworks, and paradigms
Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.
Full-time
Senior
Founder-In-Residence (Generative AI for Procurement)
United States
AI is the new electricity. Just as it transformed entire industries 100 years ago, AI is poised to do the same today. AI Fund is a venture studio that was formed to be at the forefront of this revolutionary wave. We harness artificial intelligence to create innovative solutions for the big challenges of today. With the collective aspirations of our co-founders, we build companies from inception to market launch. We innovate, ideate, and validate to address some of the most pressing issues in human capital, healthcare, wellness, and other traditional industries.

Founded in 2017 by Dr. Andrew Ng, the $176 million-dollar funded venture studio is backed by top-tier VC firms and investors, and powered by the AI Fund teams’ combined experiences as AI pioneers, entrepreneurs, venture capitalists, and operators.

Why partner with AI Fund
We’ve been there.  We’ve founded and scaled successful companies ourselves, and we know that creating meaningful startups is really hard.  Many entrepreneurs toil with ideas for years.  Many spend time building something without the foresight of limiting factors that could have been easily dismissed upfront.  Accomplished execs often teeter between a desire to start a company and creating something great versus taking a job that is less fulfilling.  If only someone could help with taking the risk out of turning an idea into reality and accelerate the company building process, more people would be inspired to start a company.

Coming up with great ideas, sussing them out, assembling great teams, and helping raise capital is what we do.  We shorten a process that can take years down to months.  We make sure you are going after the right market, are fully validated, and are surrounded by great teammates.  Lastly, we make sure you see the world through the lens of a data scientist and machine learning expert, which is the perspective any meaningful company in the future must have.

But we also know that the process is not about us.  It’s about great Founders and empowering them to do great things.

What We Seek
We are looking for passionate entrepreneurs with first-hand knowledge of the problem they have encountered or entrepreneurs that might match to a problem or idea we already have.

It’s not a mandate, but ideally, we want people with experience solving business problems and have a keen eye for anticipating business risks.  You may have been a product manager running a product or product line before.  You may have been an engineer who has been on the front lines of helping shape a company.  You may have been a management consultant who has experience in a particular vertical.  Or perhaps you are a proven entrepreneur who recognizes that the difference between success and failure is razor-thin, and you want every advantage you can get.

Lastly, we want people who are leaders.  We desire people who can hire great people, get others excited about their vision, raise capital, and make it all happen.

About The Project
You have the opportunity to lead the Generative AI revolution in the procurement, and make a real difference to the way businesses operate. At the core of our vision lies the powerful synergy between generative AI and the complex world of procurement. We have harnessed the potential of Language Models (LLMs) to automate the tedious yet crucial paperwork that engulfs the procurement process. We will be able to create a differentiated business by building a new systems of record within this space, establishing a highly defensible business that reshapes the foundations of procurement.

Imagine a world where businesses seamlessly leverage our cutting-edge AI platform to automate every facet of their critical procurement processes, from sourcing deals to submitting RFPs. This is the vision we are building—one where mundane tasks are delegated to machines, freeing up valuable time and resources for construction businesses to focus on their core strengths, achieve exceptional results, and drive profitability.
The problem we are solving is not just a pressing issue for our target customers; it is a top priority that directly impacts their revenue and profitability while reducing operational costs.

We understand the challenges faced by businesses in securing lucrative projects, optimizing costs, and delivering with unparalleled efficiency. Our goal is to build a business that will tackle these pain points head-on, empowering our customers to unlock unprecedented levels of productivity and competitive advantage.

What You Will Be Doing:

    • The FIR will work with the AI Fund Leadership Team to launch and scale a new business from the ground up. We want to work with entrepreneurs who are obsessed with startups and building exceptional products.
    • Work alongside our staff to iteratively research and validate on a problem  that can be solved with AI/ML. This includes idea validation, product validation, market validation, and funding validation.
    • Design a product and prototype it.
    • Set the vision and the strategy of the portfolio company once the idea has been tested and determine product market fit.
    • If all makes sense, we capitalize the company to help you stand the company up, bring in the best talent, build the product, and get pilot customers

Must Haves For the Role Include:

    • Prior Enterprise SaaS and B2B experience
    • Prior startup founder or experience working at an early stage hi-tech company
    • Integral part of building technology companies from 0 to 1 
    • Strategic thinking
    • Self-starter who will thrive in an ambiguous startup environment
    • Competitive, entrepreneurial mindset
    • Demonstrated experience building products and leading teams
    • Demonstrated track record of success
    • Demonstrated ability to fundraise
    • Demonstrated ability to move fast and make sound judgment while doing so
    • BA/BS degree or equivalent practical experience
    • Ability to attract and motivate great team members
    • Good communication skill and team player

Nice To Haves Include:

    • Advanced degree or equivalent practical experience
    • Skill to foster good company culture
    • Solid understanding and uncanny curiosity about AI
    • Experience selling technology to low tech or regulated industries
    • Procurement experience

Characteristics That We Value:

    • Accountability: an obligation or willingness to accept responsibility or to account for one's actions while doing so with the highest regard for integrity.
    • Leadership: able to influence others to follow you and lead the team to a brighter future.
    • Grit: able to stick with projects and work hard through good and bad times. High pain tolerance and can perform well under stress or pressure.
    • Scrappy: Takes initiative and is proactively able to get things done with low resources, but doing creative things, begging, borrowing, and whatever is needed in an ambiguous environment or situation.
    • Ownership Orientation: Demonstrated orientation of extreme ownership over all aspects of the company and extremely results-driven in nature.
At AI Fund, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation, and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. AI Fund and Book And I believe that diversity and inclusion among our employees is critical to our success as a company, and we seek to recruit, develop, and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.
Contract
Generative Models
Senior Product Manager
Palo Alto, CA
Landing AI delivers the leading data-centric, no-code platform for computer vision. Our flagship product, LandingLens, uses cutting-edge AI technology to enable computer vision applications to be built and deployed 10x faster than before, thereby creating significant ROI. Our deep learning technology excels particularly in subtle or nuanced inspection problems where traditional rules-based machine vision does not work, and our proprietary data-centric AI technology helps our customers achieve higher accuracy than other tools.
 
As a Product Manager in this group, you can imagine, create, make, and test new product concept solutions that solve huge customer problems. 

Here is what you will do:

    • Drive the vision and product direction of one of the major and existing product segments inside LandingLens.
    • Strong analytical skills (especially with PLG/PLS hybrid motion) and convert customer inputs, and market trends into product proposals.
    • You’ll work closely with teammates across design, engineering, data science, research, customer experience, and product marketing to define and execute a vision. 
    • Communication: You should be super communicators, you need to speak the same language with your stakeholders (customers, engineers, cross-functional teams including the go-to-market team) 

Here is the background we'd like you to have:

    • BA/BS degree in Computer Science, EE, Mathematics or Statistics, or equivalent practical experience. MBA/Management Consulting is a plus. 
    • Preferably software engineering background and experience with ML, and / or AI technologies.
    • Minimum of 3 years’ experience in a product management role, within the B2B SaaS industry with demonstrated leadership in the management of a product (or portfolio of products). With a clear product delivery and discovery track record (i.e.: identify product opportunity). 
    • You've worked in the product function of a startup and care a lot about shaping (and working in) a high-impact, collaborative organization.
    • Sharp, Smart, Clear & Diplomatic Communication 

Landing AI Benefits:

    • Health: Our people and their dependents* are covered by comprehensive medical, dental, and vision plans. 
    • Environment:  We provide an allowance for you to set up a workstation however you want. 
    • Wellness: We offer a fitness stipend to be used on well-being and fitness programs.  
    • Lifelong learning: With an education stipend, you are encouraged to keep learning and growing. 
    • PTO: We provided generous paid time off* so you can strive toward a balanced lifestyle.
    • Retirement: We offer 401k matching plan to help you plan for your future! 
    • Events: We love having fun! We set up regular virtual and in-person events to connect with each other.
    • Global Citizen: Our people reside in North America, Latin America, and Asia. Come and join our global network! 
    • *Subject to country of employment
$175,000 - $225,000 a year
Note: Landing AI provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure that varies by location. The base pay for this position depends on the work location and the candidate’s knowledge, skills, and experience. In addition to base pay, this role is eligible for bonus or commission and benefits and may be eligible for equity.
This is a hybrid role. This role requires you to come to the Palo Alto office in California  2-3 days/week.  

To be successful at Landing AI, you will have to fit well with our Landing AI Principles. Please take the time to read and understand them as they define who we are and what we look for in our candidate.
Full-time
Senior
Content Marketing Consultant
California
Landing AI delivers the leading data-centric, no-code platform for computer vision. Our flagship product, LandingLens uses cutting-edge AI technology to enable computer vision applications to be built and deployed 10x faster than before, thereby creating significant ROI. Our deep learning technology excels particularly in subtle or nuanced inspection problems where traditional rules-based machine vision does not work, and our proprietary data-centric AI technology helps our customers achieve higher accuracy than other tools.

Deliverables to be supported under this Content Marketing Consultant Contract:

    • Drive the development and implementation of a captivating content strategy that effectively engages both customers and generates leads, aligning with our business objectives and targets. You will be working under the VP of Marketing and growth supervision.  
    • Content Strategy: Collaborate with the product marketing, engineering, and product teams to create and execute content marketing strategies that improve brand awareness, build pipeline, and nurture opportunities with strategic and technical audiences across multiple industry verticals. 
    • Content Calendar Management: Maintain an organized content calendar to plan, schedule, and execute content releases effectively. Ensure content is published on time and aligns with broader marketing campaigns.
    • Conceptualizing and Ideation: Generate innovative and creative content ideas, developing captivating storytelling concepts that resonate with the target audience of business decision-making leaders and highly technical users, and align with the brand's messaging and objectives.
    • Content Creation: Create high-quality and engaging content targeting technical and strategic audiences, across various formats, including blog posts, articles, case studies, technical briefs, web and ad copy, video scripts, infographics, third-party research, and more. Ensure content is aligned with brand and messaging guidelines and optimized for SEO. 
    • SEO Optimization: Optimize content for search engines by implementing SEO best practices to improve organic search rankings and increase website traffic.
    • Content Distribution: Identify and explore various channels to distribute content, such as guest posting opportunities, content partnerships, and other outreach initiatives to increase content reach and visibility.
    • Analytics and Reporting: Use data and analytics tools to track content performance, website traffic, social media engagement, and other vital metrics. Prepare regular reports to evaluate the effectiveness of content marketing efforts and make data-driven recommendations.
    • Research: Stay up-to-date with industry trends, competitor strategies, and emerging content marketing techniques. 

Here is the background we'd like you to have:

    • 5-7+ years of experience working on content marketing teams/projects for enterprise solutions, AI and B2B SaaS products, and technical audiences like developers. 
    • Strong writing skills, including copywriting, copy editing, creative writing, and short- and long-form writing.
    • Expertise in B2B SEO best practices pillar post/hub & spoke strategies, and relevant ranking factors in today’s competitive SEO landscape.
    • Demonstrated ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines.
$7,500 - $7,500 biweekly
Hourly rate of $125, up to 30 hours per week as required.
Please take the time to read and understand our Landing AI Principles, as they define who we are and what we look for to support our teams.

**Under this contract, you will be expected to come to the Palo Alto office in California 2-3 days/week.  
Contract
Mid Level
Logo
Mission Software Engineer- Estimation and Tracking
Costa Mesa, CA
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

WHY WE'RE HERE

Anduril’s Land Systems is seeking a Mission Software Engineer- Estimation & Tracking to join our team. The Land Systems team at Anduril develops software for land-based robotic systems, leveraging software infrastructure built by other Anduril product teams. The team is responsible for taking manned and unmanned ground vehicle (UGV) robots from paper sketches to operational systems. We work in close coordination with specialist teams like Perception, Autonomy, and Hardware/Manufacturing to solve some of the hardest problems facing our customers.

Anduril is developing software at the intersection of machine learning, computer vision, and sensor fusion. As a Mission Software Engineer- Estimation & Tracking you will be bringing together data from drones, cameras, radars, and many other sources into a single combined operational picture which enables users and autonomy to complete their missions. We develop cutting edge software for autonomous operation and situational awareness by having sensors and systems that work together to improve over time. 

REQUIRED QUALIFICATIONS

    • BS, MS, or PhD in Robotics, Computer Science, Applied Math, Physics or related field
    • Experience developing production grade software
    • Proficiency in production-grade C++ software development
    • Strong math skills, especially in linear algebra and probability
    • Strong communication skill and the ability to take large problems and break them down into actionable parts
    • Must be able to obtain and hold a U.S. Top Secret security clearance
    • Travel up to 25%

PREFERRED QUALIFICATIONS

    • We are looking for engineers with professional experience in one or more of the following areas and are interested in learning more:
    • Experience processing sensor measurements from Radar, Optical Sensors, RF Sensors, or LIDAR
    • Experience with sensor characterization and modeling
    • Familiarity with classical and contemporary approaches for state estimation and tracking (e.g. Kalman Filter, Particle Filter)
    • Derivation of performance metrics and analysis of system performance
    • Experience with Visual Inertial Odometry (VIO)
    • Camera and sensor calibration
    • Familiarity with Ceres Optimizer or other optimizers
    • Multi-target prediction and tracking (e.g., Multi-hypothesis tracking)
    • Probabilistic inference and Bayesian likelihood estimation (e.g., Markov Chain Monte Carlo)
    • Experience in unmanned aerial systems
    • Experience in Docker, CircleCI, Linux
$132,000 - $240,000 a year
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in all offers and are considered part of Anduril’s total compensation package. Additionally, Anduril offers top-tier benefits, including comprehensive medical, dental, and vision plans, employee life and disability, mental health and family planning benefits with all premiums paid by Anduril. Anduril provides fully paid medical leave, paid company holidays, and paid time off. A professional development stipend is available to all Andurilians and all on-site meals are fully subsidized during the work week through use of our gourmet kitchens. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we’d love to hear from you!
Full-time
Mid Level
Computer Vision
Logo
Senior People Data Scientist
San Francisco, United States
Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Atlassian is hiring a data scientist to join our newly formed People Insights team, a cross-disciplinary group of analysts, data scientists, behavioral scientists, researchers and business partners, who use data and research to inform strategic and operational issues facing our leaders, teams, and people. This role will be responsible for driving our approach to data-informed insights and analysis, leveraging research and creating repeatability of outputs to inform our leaders and teams.

What you'll do:

    • Collaborate with behavioral scientists, business partners and others to understand the people insights needed to drive decision making at Atlassian, and design products and insights in a way that motivates and inspires action
    • Conduct rigorous analyses to uncover data-driven people insights, and then test and iterate to understand feasibility and interest before scaling
    • Help scale compelling insights from people data and effectively convey findings to stakeholders with a data storytelling mindset.
    • Learn from and collaborate with other Data Scientists, as well as mentor others on the team

Your background:

    • Expert knowledge of advanced statistical methods (e.g., could include: regression, cluster analysis, HLM, social network analysis, text analysis, longitudinal methods, etc.)
    • 6+ years of experience working with people data (e.g., survey data, HR data, psychological study data, human behavior data) in an applied setting
    • Proven ability to translate data into compelling and easy-to-understand insights, stories, and narratives that resonate with a non-technical audience
    • Knowledge of experimental methods
    • Advanced Python or R skills
    • Proficiency in reading and writing SQL queries
    • Knowledge of Git is a plus


Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.
Full-time
Senior
Logo
Senior Machine Learning Engineer- Price Freeze (100% remote)
San Francisco
About the job

In this role you will be part of a cross-functional team of product managers, designers, and engineers in the creation of data-driven Fintech products that make travel planning easier and deliver them to millions of users.

This role has a tremendous impact on the vision and success of the company. It's a unique opportunity to join one of the most innovative teams, get access to fascinating and massive data sets with market and behavioral data, a huge personal growth trajectory, and a high potential upside of pre-IPO stock options.

We are looking for someone who has a real bias for action, takes ownership, thrives on autonomy and delivers results. A smart creative with a proven record of solving hard problems and deep understanding of data, product and business.

An Ideal candidate has:

    • Coding abilities with languages like Python, SQL, etc.
    • Strong problem-solving skills, and critical thinking competencies
    • Statistics Commercial Awareness (works backwards from making money to the business)
    • Industry experience (e.g. Booking, Uber, Lyft, google, Facebook, Zillow etc)
    • Has deployed ML algorithms into production using latest technologies (i.e. Docker, Kubernetes, etc)
    • Has a proven track record of solving complex problems with in depth understanding of data, product and business impact
    • Has experience with data visualization tools (Tableau, Amplitude, Big Query)

Perks of working with us:

    • The base pay for this position ranges from 100 000$ to 190 000$. Compensation will be determined by candidates’ relevant qualifications, knowledge, skills and work experience. Total compensation may also include equity (options / RSUs), sign-on bonus and other potential incentives
    • Unlimited PTO
    • WeWork All Access Pass OR Work-from-home stipend
    • Entrepreneurial culture where pushing limits and taking risks is everyday business
    • Open communication with management and company leadership
    • Small, dynamic teams = massive impact
    • 100% employer paid medical, dental, vision, disability and life insurance plans
    • Access to a 401k 
More about Hopper

At Hopper, we are on a mission to become the world’s best — and most fun — place to book travel. By leveraging massive amounts of data, advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to help customers spend less and travel better. Ranked the third largest online travel agency in North America, the app has been downloaded over 100 million times and continues to gain market share globally.

Here are just a few stats that demonstrate the company’s recent growth:

Hopper sells $6 billion worth of travel and travel fintech every year; 2022 sales were up 3X over 2021. In 2022, Hopper increased its revenue 2.5X year-over year.

The company’s bespoke fintech products, such as Flight Disruption Guarantee and Price Freeze, now represent around 50% of Hopper’s total app revenue. 

Given the success of its fintech products, Hopper launched a B2B initiative called Hopper Cloud in late 2021. Through this partnership program, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory. As its first Hopper Cloud partnership, Hopper partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders.

Other partners include Marriott, Uber, Agoda, CommBank and many more to be announced. 

Hopper Cloud now comprises more than 50% of Hopper's business; Hopper Cloud made around as much in 2022 as all of the Hopper app did in 2021.

Recognized as one of the world’s most innovative companies by Fast Company four years in a row, Hopper has been downloaded over 100 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agency in North America. 

Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. Hopper is primed to continue its acceleration as the world’s fastest-growing mobile-first travel marketplace. 

Come take off with us!


Full-time
Senior
Logo
Senior Machine Learning Platform Engineer - Fintech Foundation (Remote)
Remote, Uruguay
Hopper is continually redefining how people travel, combining a best-in-class travel agency with a portfolio of proprietary fintech offerings that give our customers peace of mind when booking travel.  More than 100M monthly active users are exposed to our products through our mobile app and a growing list of partners such as CapitalOne, Uber, Nubank, and Air Canada.  With a real-time feed of 50B+ priced itineraries daily along with more than ten years of history and multiple external data sources, we have unparalleled insight about pricing and demand trends.

This is a unique opportunity to join our growing Fintech Foundation team and help millions of people travel better, for less. Our team enables our product teams to deliver new products to market faster; produce better quality pricing and provisioning models faster; and be more responsive to changing market conditions, product construction and service outages.   As a Senior Machine Learning Engineer, you will be directly responsible for developing the services and tooling on our golden path for model development and delivery in collaboration with our product engineers, data scientists and product managers.  This will include aspects of our feature platform, model pipeline automation, model deployment and observability infra, and ownership of several tier-one production services.

In this role, you will:

    • Build the next generation of our predictive modeling infrastructure, setting standards for code and performance
    • Tame huge volumes of real-time streaming data and simplify access to offline data for model development
    • Work in a complex dynamic environment with a rich API tier
    • Collaborate with a diverse group of people, giving and receiving feedback for growth
    • Execute on big opportunities, helping Hopper’s continued rise to the top of the travel industry

A perfect candidate has:

    • Thrived with machine learning techniques and technology for model development and deployment, particularly in the Google Cloud Platform environment 
    • Experience designing streaming data systems with tools such as GCP Dataflow, GCP PubSub, Kafka, Flink, or Akka/Pekko Streams.
    • Experience with traditional batch ETL tools like Airflow and SQL is also an asset.
    • Familiarity with Scala (or other functional, statically-typed languages) for backend development and Python for ML automation
    • Expertise with various data stores (transactional and warehouse) such as Spanner and BigQuery
    • Comfortable mentoring and leading people at different stages in their career
    • Excel in cross-functional teams, working with Product Managers, Data Scientists, full stack Engineers, and other highly skilled specialists
    • Passion for quality; writing robust, performant and testable code for our customers
    • Comfortable being on-call for critical production services relied upon by all of Hopper


More about Hopper

At Hopper, we are on a mission to become the world’s best — and most fun — place to book travel. By leveraging massive amounts of data, advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to help customers spend less and travel better. Ranked the third largest online travel agency in North America, the app has been downloaded over 100 million times and continues to gain market share globally.

Here are just a few stats that demonstrate the company’s recent growth:

Hopper sells $6 billion worth of travel and travel fintech every year; 2022 sales were up 3X over 2021. In 2022, Hopper increased its revenue 2.5X year-over year.

The company’s bespoke fintech products, such as Flight Disruption Guarantee and Price Freeze, now represent around 50% of Hopper’s total app revenue. 

Given the success of its fintech products, Hopper launched a B2B initiative called Hopper Cloud in late 2021. Through this partnership program, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory. As its first Hopper Cloud partnership, Hopper partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders.

Other partners include Marriott, Uber, Agoda, CommBank and many more to be announced. 

Hopper Cloud now comprises more than 50% of Hopper's business; Hopper Cloud made around as much in 2022 as all of the Hopper app did in 2021.

Recognized as one of the world’s most innovative companies by Fast Company four years in a row, Hopper has been downloaded over 100 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agency in North America. 

Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. Hopper is primed to continue its acceleration as the world’s fastest-growing mobile-first travel marketplace. 

Come take off with us!


Full-time
Senior
Logo
Senior Machine Learning Platform Engineer - Fintech Foundation (Remote)
Mexico-Remote
Hopper is continually redefining how people travel, combining a best-in-class travel agency with a portfolio of proprietary fintech offerings that give our customers peace of mind when booking travel.  More than 100M monthly active users are exposed to our products through our mobile app and a growing list of partners such as CapitalOne, Uber, Nubank, and Air Canada.  With a real-time feed of 50B+ priced itineraries daily along with more than ten years of history and multiple external data sources, we have unparalleled insight about pricing and demand trends.

This is a unique opportunity to join our growing Fintech Foundation team and help millions of people travel better, for less. Our team enables our product teams to deliver new products to market faster; produce better quality pricing and provisioning models faster; and be more responsive to changing market conditions, product construction and service outages.   As a Senior Machine Learning Engineer, you will be directly responsible for developing the services and tooling on our golden path for model development and delivery in collaboration with our product engineers, data scientists and product managers.  This will include aspects of our feature platform, model pipeline automation, model deployment and observability infra, and ownership of several tier-one production services.

In this role, you will:

    • Build the next generation of our predictive modeling infrastructure, setting standards for code and performance
    • Tame huge volumes of real-time streaming data and simplify access to offline data for model development
    • Work in a complex dynamic environment with a rich API tier
    • Collaborate with a diverse group of people, giving and receiving feedback for growth
    • Execute on big opportunities, helping Hopper’s continued rise to the top of the travel industry

A perfect candidate has:

    • Thrived with machine learning techniques and technology for model development and deployment, particularly in the Google Cloud Platform environment 
    • Experience designing streaming data systems with tools such as GCP Dataflow, GCP PubSub, Kafka, Flink, or Akka/Pekko Streams.
    • Experience with traditional batch ETL tools like Airflow and SQL is also an asset.
    • Familiarity with Scala (or other functional, statically-typed languages) for backend development and Python for ML automation
    • Expertise with various data stores (transactional and warehouse) such as Spanner and BigQuery
    • Comfortable mentoring and leading people at different stages in their career
    • Excel in cross-functional teams, working with Product Managers, Data Scientists, full stack Engineers, and other highly skilled specialists
    • Passion for quality; writing robust, performant and testable code for our customers
    • Comfortable being on-call for critical production services relied upon by all of Hopper


More about Hopper

At Hopper, we are on a mission to become the world’s best — and most fun — place to book travel. By leveraging massive amounts of data, advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to help customers spend less and travel better. Ranked the third largest online travel agency in North America, the app has been downloaded over 100 million times and continues to gain market share globally.

Here are just a few stats that demonstrate the company’s recent growth:

Hopper sells $6 billion worth of travel and travel fintech every year; 2022 sales were up 3X over 2021. In 2022, Hopper increased its revenue 2.5X year-over year.

The company’s bespoke fintech products, such as Flight Disruption Guarantee and Price Freeze, now represent around 50% of Hopper’s total app revenue. 

Given the success of its fintech products, Hopper launched a B2B initiative called Hopper Cloud in late 2021. Through this partnership program, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory. As its first Hopper Cloud partnership, Hopper partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders.

Other partners include Marriott, Uber, Agoda, CommBank and many more to be announced. 

Hopper Cloud now comprises more than 50% of Hopper's business; Hopper Cloud made around as much in 2022 as all of the Hopper app did in 2021.

Recognized as one of the world’s most innovative companies by Fast Company four years in a row, Hopper has been downloaded over 100 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agency in North America. 

Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. Hopper is primed to continue its acceleration as the world’s fastest-growing mobile-first travel marketplace. 

Come take off with us!


Full-time
Senior
Logo
Senior Machine Learning Engineer- Price Freeze (100% remote)
Toronto
About the job

In this role you will be part of a cross-functional team of product managers, designers, and engineers in the creation of data-driven Fintech products that make travel planning easier and deliver them to millions of users.

This role has a tremendous impact on the vision and success of the company. It's a unique opportunity to join one of the most innovative teams, get access to fascinating and massive data sets with market and behavioral data, a huge personal growth trajectory, and a high potential upside of pre-IPO stock options.

We are looking for someone who has a real bias for action, takes ownership, thrives on autonomy and delivers results. A smart creative with a proven record of solving hard problems and deep understanding of data, product and business.

An Ideal candidate has:

    • Coding abilities with languages like Python, SQL, etc.
    • Strong problem-solving skills, and critical thinking competencies
    • Statistics Commercial Awareness (works backwards from making money to the business)
    • Industry experience (e.g. Booking, Uber, Lyft, google, Facebook, Zillow etc)
    • Has deployed ML algorithms into production using latest technologies (i.e. Docker, Kubernetes, etc)
    • Has a proven track record of solving complex problems with in depth understanding of data, product and business impact
    • Has experience with data visualization tools (Tableau, Amplitude, Big Query)

Perks of working with us:

    • Well-funded and proven startup with large ambitions, competitive salary and stock options
    • Unlimited PTO
    • WeWork All Access Pass OR Work-from-home stipend
    • Entrepreneurial culture where pushing limits and taking risks is everyday business
    • Open communication with management and company leadership
    • Small, dynamic teams = massive impact
    • 100% employer paid medical, dental, vision, disability and life insurance plans
    • Access to a Retirement Savings Plan
More about Hopper

At Hopper, we are on a mission to become the world’s best — and most fun — place to book travel. By leveraging massive amounts of data, advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to help customers spend less and travel better. Ranked the third largest online travel agency in North America, the app has been downloaded over 100 million times and continues to gain market share globally.

Here are just a few stats that demonstrate the company’s recent growth:

Hopper sells $6 billion worth of travel and travel fintech every year; 2022 sales were up 3X over 2021. In 2022, Hopper increased its revenue 2.5X year-over year.

The company’s bespoke fintech products, such as Flight Disruption Guarantee and Price Freeze, now represent around 50% of Hopper’s total app revenue. 

Given the success of its fintech products, Hopper launched a B2B initiative called Hopper Cloud in late 2021. Through this partnership program, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory. As its first Hopper Cloud partnership, Hopper partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders.

Other partners include Marriott, Uber, Agoda, CommBank and many more to be announced. 

Hopper Cloud now comprises more than 50% of Hopper's business; Hopper Cloud made around as much in 2022 as all of the Hopper app did in 2021.

Recognized as one of the world’s most innovative companies by Fast Company four years in a row, Hopper has been downloaded over 100 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agency in North America. 

Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. Hopper is primed to continue its acceleration as the world’s fastest-growing mobile-first travel marketplace. 

Come take off with us!


Full-time
Senior
Logo
Senior Machine Learning Engineer - Remote
Mountain View, United States
Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Your future team
The Central AI org is part of the larger Atlassian Intelligence program. Its purpose is to accelerate AI innovation across all our products and platform, provide cohesive AI experiences and setup up an Atlassian AI infrastructure for the future.
While it's anticipated that the majority of AI-driven programs will be developed and executed by federated product teams within Atlassian, the role of Central AI is important to this process. Central AI is tasked with constructing the underlying infrastructure and capacities, which are crucial for the seamless integration and optimal functionality of AI across various departments. By doing so, Central AI ensures that different teams within the organization do not work in silos but have access to a unified foundation that promotes efficiency and collaboration. Additionally, Central AI is responsible for developing some of the core shared experiences typical in the AI domain, such as search, knowledge discovery and conversation.
As a Senior Machine Learning engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with product, engineering, and analytics teams, to build the AI functionalities into each Atlassian products and services. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to junior ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AI's transformative potential is realized across our offerings.

What you'll do

    • Masters in a quantitative subject (Statistics, Mathematics, Computer Science, Operations Research, or relevant work experience)
    • 3+ years of related industry experience in the data science domain
    • Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
    • Experience building and scaling machine learning models in business applications using large amounts of data
    • Explain data science concepts to diverse audiences, craft a compelling story
    • Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"
    • Agile development mindset, appreciating the benefit of constant iteration and improvement

It's great, but not required, if you have

    • Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space
    • Experience in developing deep learning-based models and working on LLM-related applications
    • Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions
Compensation
At Atlassian, we strive to design equitable and explainable compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience.
In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $199,400 - $265,800
Zone B: $179,400 - $239,200
Zone C: $165,500 - $220,600
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
#LI-Remote

Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.
Full-time
Senior
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Content Editor Intern
Boston, MA or Remote
WHO WE ARE

If you ask us, we’re the perfect mix of athletes, entrepreneurs, engineers, and creatives. Our diverse backgrounds and shared values are what help make Hydrow great. Our mission is not just to create an amazing fitness experience, but a beautiful human experience - one that’s honest, inclusive, and positive.. Hydrow is the Live Outdoor Reality (LOR)™ rowing machine that delivers on-water experiences at home with workouts led by world-class athletes. At Hydrow, you’ll have the chance to shape a company that is disrupting the fitness industry while creating engaging content unmatched in the marketplace today. Sound exciting? That’s because it is!

WHY WE NEED YOU

The Content Editor Intern will focus on writing, editing, and publishing content on our blog and YouTube account. You will work with athletes and fitness experts to edit articles and stage and publish through our CMS. You will work with athletes and our Social Media team to publish YouTube videos and shorts. You will also have the opportunity to strategize on blog, YouTube, and Social Media content to try to maximize views and website traffic. The internship is a 10-15 hour per week commitment.

WHAT YOU’LL ACCOMPLISH

    • Coordinate with in-house experts on blog and video assignments and submission deadlines to adhere to an editorial calendar of roughly four blog posts per week
    • Coordinate with external contractors on blog assignments
    • Review blog content for spelling, grammar, style, structure, and SEO best practices
    • Stage and publish blog content in web content management system (CMS)
    • Strategize blog repurposing opportunities for Hydrow’s YouTube channel and Social Media accounts
    • Provide editorial feedback for in-house videos
    • Manage publication of roughly three YouTube videos per week
    • Opportunity to write some original content and come up with topic ideas
    • Opportunity to analyze website traffic and engagement metrics of blogs and videos

WHO YOU ARE

    • Outstanding writing and editing skills 
    • Familiarity with search engine optimization (SEO)
    • Hands-on experience with a content management system such as WordPress
    • Video experience such as YouTube
    • Excellent organizational and time management skills
    • You meet deadlines and produce quality work 
    • Experience: Great opportunity for a recent graduate with a degree in communication, journalism, creative writing, or marketing or someone who wants to get involved in these fields
    • Location: Preferred to be based in the Boston, MA area
We know the confidence gap and imposter syndrome can get in the way of meeting exceptional candidates, for that reason if you don't meet 100% of the job description, that's okay! Please don’t hesitate to apply — we’d love to hear from you.

HOW WE WORK

Authentic and Inclusive: We embrace each and every one of our differences and celebrate our diversity. We commit to fostering a space where everyone belongs and is heard.

Nimble with Purpose: We are a fleet of speedy boats, instead of a barge. As pathfinders of positive change, we adapt our focus with ease when our purpose points us in a new direction

Resilient Teammates: We support our Hydrow teammates and members through challenges: technical, personal, or unexpected waves. We overcome the present obstacle and persevere together. 

Hydrow is a community of innovators, risk-takers, and trailblazers who celebrate individual differences and recognize that unique perspectives make us stronger, smarter, and more successful. Hydrow actively seeks applicants who can bring a variety of experiences, perspectives, and backgrounds to the team. Hydrow provides equal employment opportunities to all employees and applicants for employment without regard to race, color, ancestry, national origin, gender, sex, pregnancy, pregnancy-related condition, sexual orientation, marital status, religion, age, disability, qualified handicap, gender identity, results of genetic testing, military status, veteran status, or any other characteristic protected by applicable law.

Our team values diversity in experience and backgrounds—we do our best work when we create space for different voices and perspectives. Whatever unique experiences or skill sets you bring, we look forward to learning from each other.

BENEFITS AND PERKS (Full Time Permanent Hydrownauts)

🩺 Medical, Dental, and Vision Insurance Premiums 100% Paid For By Hydrow
👶 6 Months Fully Paid Primary and Secondary Parental Leave
🏖 Unlimited PTO Policy
📚 $150/week Reimbursable for Childcare
🏦 401k
🧘‍♂️ Free Subscription to Headspace
🚣 75% Discount on a Hydrow and Free Membership to the Hydrow App
➕ MORE!


By submitting your application, you agree that Hydrow may collect your personal data for recruiting, global organization planning, and related purposes. Hydrow's Privacy Notice explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over Hydrow's use of your personal information. 
Internship
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Senior Product Marketing Manager
Remote (USCanada) /
We believe AI will be embedded in today's businesses and help people start tomorrow's businesses. Our SaaS product allows entrepreneurs, marketers, and copywriters to use the latest natural language processing (NLP) models to improve their communication and accomplish business goals.

Over 8 million users have signed up to use our application and we're eager to deliver more value for them. Investors in our recent $11 million Series A round include Zach DeWitt at Wing Ventures, David Sacks at Craft Ventures, Li Jin at Atelier Ventures, Alfred Lin at Sequoia, and 80+ other investors. In March 2022, Forbes identified Copy.ai as one of the language processing AI startups part of a billion-dollar wave.

We’re a scrappy startup so this role is what you make of it, but we’ll help you every step of the way. You’ll be able to look back and see your impact as we grow and evolve. There’s a lot to take on, but we trust that you’re up to the challenge.

Copy.ai is a remote company. All employees must be able to work 9am-5pm in any timezone Pacific to Eastern.

Copy.ai has an exciting opportunity to bring on our 1st Head of Product Marketing to completely build out, own, and lead product marketing. This is a pivotal role for our success so it’s important to us that this marketing leader has experience building and owning product marketing. This pioneer must be data-driven and have a love for AI, early-stage, product-led growth (PLG) startups. Ideally this isn’t your 1st rodeo and you’ve been the first key, high-level marketing hire before and have experience building the marketing infrastructure, pipelines, and process to make strategic and effective decisions to build and scale the marketing capabilities and function.  

What you'll do:

    • Lead our product release GTM efforts from first buzz through feature adoption. Work closely with product and marketing to achieve cross-functional goals.
    • Provide strategy, design, and test all parts of our user journey experience in conjunction with our Lifecycle Marketing Manager. Become an expert in understanding, improving, and reporting on the way new users and leads receive their product education and work their way through the funnel.
    • Ensure different teams work well together and lead the introduction of Copy.ai's platform for teams and enterprises. Develop and implement thorough strategies to launch new features. This starts with identifying the audience, defining the core value of the features, and smoothly carrying out the launch through various communication channels. Collaborate closely with colleagues in product development, design, engineering, data analysis, and marketing. Your input will be valuable in brainstorming, research, and improving the platform's features.
    • Craft Engaging Marketing Content: Take on the role of the product's messaging expert, collaborating with our team to create content for the website, blogs, podcasts, and other outward-facing materials. Your aim is to make sure that the messages are well-suited for the intended audiences. Provide direction to the marketing and growth teams in designing nurture campaigns that lead to achieving specific activation and conversion goals.
    • Take Charge of the Messaging: Create captivating stories and strategic positions that resonate at each step of the customer's journey. These narratives should set Copy.ai apart from competitors and effectively convey the benefits to our small business users.
    • Become an Industry Expert: Dive deep into the Generative AI landscape, conduct thorough market analyses, and establish yourself as the go-to authority within the company. Gain insights into our competitors and stay attuned to the shifting market trends.
    • Generate customer insights that inform CopyAI's product strategy, lead go-to-market for our products, and create and execute campaigns to drive product growth
    • Develop product positioning and messaging informed by user research, market insights, and product understanding
    • Advocate for our existing and prospective users, be informed about our competitive landscape, and become the go-to expert to help shape the product roadmap and strategy

About you; You are:

    • 5+ years of relevant work experience owning product marketing at a PLG or enterprise SaaS tech startup
    • Passion: You are excited about what Copy.ai is inventing, AI, and early-stage highly collaborative startup work environments
    • Data Driven: You love all things data and have the ability to make insights after analyzing massive data sets. In addition, you’re not afraid to try new data-backed experimentation .
    • Strategy: You've developed marketing strategies and tactics that put the customer first, while hitting growth goals at the same time.
    • Writing ability: You’ve written short-form and long-form content, and can point to examples of your writing.
    • Tools: You've worked with industry standard tools, such as Mixpanel Analytics, email optimization metrics, and user retention dashboards.
*Copy.ai is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We encourage applications from people of all races, religions, national origins, genders, sexual orientations, gender identities, gender expressions and ages, as well as veterans and individuals with disabilities.*

What We Offer 😎:

👫 A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters; 40 team members as of 08/2023
💰 Competitive salary and stock option equity packages; We're a Series A startup
🏥  Excellent Medical Plans to choose from including HSA plans, PPOs, and HMOs from Kaiser and Aetna; Dental and Vision insurance; Copy.ai pays up to $700/month per employee for monthly premiums
🏠 100% REMOTE startup! Our team is distributed all over the US and Canada
🛫UNLIMITED PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation
📈 401k plan and automatic 3% employer contribution from Day 1!!!!
💻 Brand new work-sponsored computer
🏝  IRL / In-Person retreats throughout the year


Copy.ai Organizational Values:

⭐️ Customer focus
⭐️ Transparency
⭐️ Data driven
⭐️ Dog-fooding
⭐️ Writing
⭐️ Creativity
⭐️ Learning
⭐️ Ownership 
Full-time
Senior
Natural Language Processing
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Senior Software Engineer - Estimation and Tracking
Costa Mesa, CA
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

Anduril is developing software at the intersection of machine learning, computer vision, and sensor fusion. As a tracking team, we are bringing together data from drones, cameras, radars, and many other sources into a single combined operational picture which enables users and autonomy to complete their missions. We develop cutting edge software for autonomous operation and situational awareness by having sensors and systems that work together to improve over time. 

REQUIRED QUALIFICATIONS

    • BS, MS, or PhD in Robotics, Computer Science, Electrical Engineering, Physics or related field
    • Experience developing production grade software
    • Proficiency in production-grade C++ software development
    • Strong math skills, especially in linear algebra and probability
    • Strong communication skill and the ability to take large problems and break them down into actionable parts
    • Must be able to obtain and hold a U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

    • We are looking for engineers with professional experience in one or more of the following areas and are interested in learning more:
    • Experience processing sensor measurements from Radar, Optical Sensors, RF Sensors, or LIDAR
    • Experience with sensor characterization and modeling
    • Familiarity with classical and contemporary approaches for state estimation and tracking (e.g. Kalman Filter, Particle Filter)
    • Derivation of performance metrics and analysis of system performance
    • Experience with Visual Inertial Odometry (VIO)
    • Camera and sensor calibration
    • Familiarity with Ceres Optimizer or other optimizers
    • Multi-target prediction and tracking (e.g., Multi-hypothesis tracking)
    • Probabilistic inference and Bayesian likelihood estimation (e.g., Markov Chain Monte Carlo)
    • Experience in unmanned aerial systems
    • Experience in Docker, CircleCI, Linux
$132,000 - $240,000 a year


The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in all offers and are considered part of Anduril’s total compensation package. Additionally, Anduril offers top-tier benefits, including comprehensive medical, dental, and vision plans, employee life and disability, mental health and family planning benefits with all premiums paid by Anduril. Anduril provides fully paid medical leave, paid company holidays, and paid time off. A professional development stipend is available to all Andurilians and all on-site meals are fully subsidized during the work week through use of our gourmet kitchens. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we’d love to hear from you!
Full-time
Senior
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Junior Data Scientist
Cambridge
Our team's goal is to develop, build, and maintain a best-in-class analytical data platform. As a
central data hub for the entire studio (and third parties), we provide both insights and data tools
to further the understanding of our players and how they interact with the game. The team is
built around three core sections: Data Engineering, Analytics, and Data Science.

As Junior Data Scientist, it will be your job to build algorithms and design experiments that will feed into data products that support the games in commercial, marketing and gameplay areas, all under the supervision and mentorship of our senior data scientists. Predictive modelling, machine and deep learning approaches will be added to your toolbox, allowing you to become a key player in the gaming data science sphere. You will be encouraged to suggest new areas of investigation to drive player engagement and increase the bottom line.

This role is key to our future data science function, and to that end you will receive coaching and mentoring from our senior Data Scientists. You will work closely with our data engineers and analysts to build and release systems that will have an impact on our games, players and staff. There is a fascinating dataset waiting to be explored and exploited in endlessly interesting ways, and the data collected changes and expands all the time.

What you’ll be doing:

    • Collaborate with data engineering teams to build model deployments and data pipelines
    • Collaborate with analysts to understand business questions and build better models
    • Work closely with the Studio to identify issues and use data to propose solutions for effective decision making
    • Stay up to date with industry and data science standard technologies, and evangelize them among the team when relevant
    • Identify new avenues for exploration: combining game world data with game player data with commercial, marketing, store front and a myriad of other sources to forge new ground
    • Coach, mentor and help build data science capability within ADSE

What you’ll need:

    • Solid understanding of python
    • Knowledge of machine/deep learning
    • Experience with modern ML/DL packages
    • Ability to design, develop, train, test, evaluate, deploy and manage different models

What will make you stand out:

    • Experience with applied statistics
    • Experience with big data ecosystems and infrastructure
    • Experience in AWS

Company Overview:

A leader in creating deep and engaging experiences on PC and mobile, Jagex was founded in 2001 and is today one of the UK’s biggest and most respected video game developers and publishers.

Famed for its flagship MMOs RuneScape and Old School RuneScape, Jagex has welcomed more than 260million player accounts to its world and created a $1bn lifetime franchise revenue. Today the RuneScape franchise exists beyond running games in live operations; our titles are living games that connect and inspire millions of players, with content and experiences both inside and outside of inexhaustible game worlds.

Both RuneScape and Old School RuneScape, on PC and mobile, offer ever-evolving, highly-active worlds and our community-focussed development ethos empowers players to have a real say in how each game is shaped.

Jagex is expanding and extending its portfolio with fresh franchise titles, new IP and, in 2018 launched Jagex Partners, delivering third-party publishing and operational services exclusively for the living games of the future.

Jagex employs more than 400 people at its Cambridge headquarters and is on the hunt for talented people to work across the business to help the company to achieve yet another year of record growth and player satisfaction.


Company Benefits:

- Flexible Working
- Bonus Scheme
- Private Health Care
- Gym Membership
- Monthly Energy Allowance
- Generous Pension Contributions
- Life Insurance
- Free Cycle Repair
- Income Protection
- Dental Plan
- Free Fruit and Drinks
- Subsidised Canteen

Feel like you fit this role, but don’t meet all the requirements? We strive for fresh perspectives, so as long as you can demonstrate how your attitude and other abilities might make up for any gaps we would welcome your application!
 
Jagex are an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, marriage or civil partnership, pregnancy or maternity, religion or belief.
Full-time
Junior
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Machine Learning Engineer, UIP Customer Value Measurement & Intelligence
Bengaluru, India
Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Our Team
We are the UI Platform Customer Value Measurement and Intelligence team. The UI Platform organisation builds the tools, libraries and infrastructure that powers the development of Atlassian’s web applications. We give Atlassian teams everything they need to build web experiences that our customers love.
The Customer Value Measurement and Intelligence team is focussed on building tools that help developers measure, analyse and improve the performance of their experiences. As well as we apply ML and generative AI capabilities to improve developer productivity. Our platform is leveraged by our biggest products including Jira and Confluence. There is no such thing as a slow productivity tool, so our team’s mission is critical to Atlassian’s success! This is a growing team with plenty of opportunity to deliver big impact.

On your first day, we'd love for you to have

    • 4yrs+ experience of building modern data driven applications utilising Machine Learning and/or Generative AI ecosystem.
    • Experience with open source ML libraries like pyspark, mllib, scikit-learn, langchain.
    • Exposure to capabilities of Generative AI models like chat-gpt, llama2.
    • Experience working with ML Platform and infrastructure like AWS Sagemaker, LLMOPS/MLOPS, Vector Databases.
    • A passion for utilising ML techniques to solve customer problems.

It's great, but not required if you have

    • Knowledge of open-source libraries, tools, and frameworks (e.g. for logging, wiring, testing, building)
    • Some industry experience with public cloud offerings (e.g., AWS, GAE, Azure)
    • Ability and willingness to learn new programming languages, frameworks, and paradigms
Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.
Full-time
Senior Backend Engineer
New York , NY
Seek AI is hiring a Sr. Backend Engineer to help us build the next generation of data analysis software. We are a well-funded seed-stage startup backed by top-tier VCs and we are looking for a talented, experienced software engineer who can shape the development of our web platform. Our company is headquartered in NYC and we meet once per week to work in person. We also work remotely with folks outside of NYC.

Responsibilities:
·      Work closely with the Product and Design teams to understand technical requirements and timelines for our projects
·      Develop, test, and maintain features that greatly improve customer’s ability to explore and understand their data
·      Triage errors and performance issues in production, and make changes to our code to prevent them in the first place
·      Develop integrations with third-party applications
·      Integrate ML services into our web application through internal and third-party APIs.
 
The ideal candidate for this role would possess the following:
·      Proven experience (at least 4 years) building and maintaining production systems in Python
·      Expertise with Django, FastAPI, and/or Flask
·      Expertise across multiple popular web APIs (REST, GraphQL, and WebSocket)
·      Experience configuring and deploying containerized services (Docker + Kubernetes) in the major cloud providers (AWS, Azure, GCP)
·      Experience working with different data warehousing solutions (for example, Snowflake, Redshift, BigQuery, DataBricks) and databases (for example, Postgres, MySQL)
·      Strong enthusiasm and autonomy
·      Ambition to build best-in-class web platforms and services
·      Curiosity about the latest advancements in Generative AI and Natural Language Processing
 
What You Can Expect:
 
Career Growth
Our advisors are some of the most successful entrepreneurs in NYC and the Silicon Valley and they meet with us regularly to provide mentorship and connections as we grow Seek. As an early team member of Seek, you will have the opportunity to shape and scale a business pushing the envelope of NLP and building world-changing technology.
 
Healthy Company Culture
We're a results-driven organization. We don't care where you work or how many hours you put in as long as you get things done.
 
Benefits
Health, vision, and dental insurance
Take vacations, sick days and mental health days when you need them--it's that simple.
$160,000 - $180,000 a year
The annual base salary for this position is anticipated to be $160K ~ $180K based for the Greater New York area. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, and abilities. Our compensation package also includes equity.
This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer
Full-time
Senior
ML/NLP Engineer | Palo Alto, CA
Palo Alto
Online misinformation, hate speech, child endangerment, and extreme violence are some of the world's most critical and complex problems. Trust Lab is a fast-growing, VC-backed startup, founded by ex-Google, TikTok and Reddit executives determined to use software engineering, ML, and data science to tackle these challenges and make the internet healthier and safer for everyone. 

If you’re interested in working with the world’s largest social media companies and online platforms, and building technologies to mitigate these issues, you’ve come to the right place. We are a small, global and are prioritizing candidates in the Palo Alto, CA and Ankara, Turkey areas.

As an engineer on our team, you’ll work directly with ex-senior leaders from Google, YouTube, TikTok, and Reddit, build and commercialize cutting-edge technologies, and have the opportunity to develop your skills across a varied tech stack including generative AI technologies. We are a tech-first company, and our engineers are the lifeblood of everything we do. You can expect rapid growth and mentorship opportunities, meaningful work, and a fun work environment.

Opportunities + Perks

    • Use and experiment with latest generative AI technologies
    • Work directly with ex-Google execs to develop and execute on cutting-edge tech
    • Competitive total comp package (salary + equity) at a rapidly growing VC-backed startup
    • Influence new product direction from idea to commercialization
    • Help develop critical tech to solve one of the 21st century’s trickiest societal problems
    • Generous technology + education stipends and healthcare coverage
    • Co-locate with one of our teams in Palo Alto, Ankara (or Berlin). Flexible work arrangements are an option.

Responsibilities

    • Extract features from content (text, images, videos)
    • Build classification models to identify unsafe online content
    • Leverage off-the-shelf, pre-trained models (including large language models) and other heuristics where appropriate
    • Work with team to productionize models in a high throughput, low latency setting
    • Design industry-leading solutions informed by a thorough understanding of the domain 
    • Take ownership of modeling e2e to meet business requirements

Qualifications

    • A technical Bachelor's degree or equivalent practical experience developing software
    • At least 2+ years of professional software development experience (in the industry) where you were coding at least 50% of the time
    • Past experience relevant to the above responsibilities
    • Ability to write high-quality, well-tested code and high comfort level with Python
    • Experience building and tuning multi-modal ML systems

Extras (nice-to-have but not required!)

    • Experience or interest in working in the Trust and Safety industry
    • Familiarity with AWS primitives, Kubernetes, AWS Lambda
We are an equal-opportunity employer that celebrates diversity and believes that people of varied backgrounds working together lead to the best outcomes across all levels of a company. This is your chance to help build world-class technology in a space that greatly matters to society, working with a team that is invested in your professional growth! Our team members come from all different parts of the world, perspectives, ages, and experiences.
Full-time
Mid Level
Natural Language Processing
Lead Audio Research Scientist - Audio AI
Remote (US, UK & Europe)
Lead Research Scientist - Audio AI / Generative Audio
Remote working from anywhere
Join on a long term contract or as a permanent hire
Salary + equity

We're looking for a Lead Research Scientist specialised in generative audio / audio AI, to join a stealth start up working on interactive music and generative audio.

This is a crucial role that directly influences their product and feature development, so we're looking for someone who has experience researching AND building audio AI models.

You'll join our specialised team of Machine Learning and Software Engineers, leading on innovative research, with access to audio datasets you won't find anywhere else.

Remote working from anywhere - current team are across USA, UK and Europe.
$100,000 - $150,000 a year
plus equity
Contract
Senior
Generative Models
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Senior Robotics Software Engineer
Mountain View, CA
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

The Robotics team at Anduril develops aerial and ground-based robotic systems. The team is responsible for taking products like Ghost, Anvil, and our Sentry Tower from paper sketches to operational systems. We work in close coordination with specialist teams like Perception, Autonomy, and Manufacturing to solve some of the hardest problems facing our customers. We are looking for software engineers and roboticists excited about creating a powerful robotics stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications.

WHAT YOU’LL DO

    • Write and maintain core libraries (frame transformations, targeting and guidance, etc.) that all robotics platforms at Anduril will use
    • Own major feature development and rollout of large features for our products - recent examples include building a Software-in-the-Loop simulator for our Anvil product and characterizing and improving Ghost helicopter battery consumption with route planning
    • Work closely with our hardware and manufacturing teams during product development, providing quick feedback that contributes to the final hardware design

REQUIRED QUALIFICATIONS

    • BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field
    • Proven understanding of data structures, algorithms, concurrency, and code optimization
    • Experience troubleshooting and analyzing remotely deployed software systems
    • Experience working with and testing electrical and mechanical systems
    • Strong C++ or Rust experience in a Linux development environment
    • Must be able to obtain and hold a U.S. TS/SCI security clearance.

PREFERRED QUALIFICATIONS

    • MS or PhD
    • Experience in one or more of the following: motion planning, perception, localization, mapping, controls, and related system performance metrics.
    • Python, Rust, and/or Go experience
    • Experience programming for embedded and physical devices
    • Multi-agent coordination of UAVs
    • Complex frame transformation problems, such as target localization or multi degree of freedom robotic arms
$132,000 - $240,000 a year


For Full Time Employment Opportunities: The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in all offers and are considered part of Anduril’s total compensation package. Additionally, Anduril offers top-tier benefits, including comprehensive medical, dental, and vision plans, employee life and disability, mental health and family planning benefits with all premiums paid by Anduril. Anduril provides fully paid medical leave, paid company holidays, and paid time off. A professional development stipend is available to all Andurilians and all on-site meals are fully subsidized during the work week through use of our gourmet kitchens. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we’d love to hear from you!
Full-time
Senior
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Senior Software Engineer - Estimation and Tracking
Boston, MA
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

Anduril is developing software at the intersection of machine learning, computer vision, and sensor fusion. As a tracking team, we are bringing together data from drones, cameras, radars, and many other sources into a single combined operational picture which enables users and autonomy to complete their missions. We develop cutting edge software for autonomous operation and situational awareness by having sensors and systems that work together to improve over time. 

REQUIRED QUALIFICATIONS

    • BS, MS, or PhD in Robotics, Computer Science, Electrical Engineering, Physics or related field
    • Experience developing production grade software
    • Proficiency in production-grade C++ software development
    • Strong math skills, especially in linear algebra and probability
    • Strong communication skill and the ability to take large problems and break them down into actionable parts
    • Must be able to obtain and hold a U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

    • We are looking for engineers with professional experience in one or more of the following areas and are interested in learning more:
    • Experience processing sensor measurements from Radar, Optical Sensors, RF Sensors, or LIDAR
    • Experience with sensor characterization and modeling
    • Familiarity with classical and contemporary approaches for state estimation and tracking (e.g. Kalman Filter, Particle Filter)
    • Derivation of performance metrics and analysis of system performance
    • Experience with Visual Inertial Odometry (VIO)
    • Camera and sensor calibration
    • Familiarity with Ceres Optimizer or other optimizers
    • Multi-target prediction and tracking (e.g., Multi-hypothesis tracking)
    • Probabilistic inference and Bayesian likelihood estimation (e.g., Markov Chain Monte Carlo)
    • Experience in unmanned aerial systems
    • Experience in Docker, CircleCI, Linux
$132,000 - $240,000 a year


For Full Time Employment Opportunities: The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in all offers and are considered part of Anduril’s total compensation package. Additionally, Anduril offers top-tier benefits, including comprehensive medical, dental, and vision plans, employee life and disability, mental health and family planning benefits with all premiums paid by Anduril. Anduril provides fully paid medical leave, paid company holidays, and paid time off. A professional development stipend is available to all Andurilians and all on-site meals are fully subsidized during the work week through use of our gourmet kitchens. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we’d love to hear from you!
Full-time
Senior
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Program Manager, Privacy
San Francisco, CA
As a Program Manager supporting our Privacy and Legal team, you will develop, implement, scale, and manage privacy-related policies and procedures to ensure that our AI products and services comply with privacy regulations and protect user data. You will work cross-functionally with Legal, Security, Product, and Engineering to identify and address technical privacy requirements and risks, define policies and procedures, support internal education on privacy issues, and foster a culture of privacy and ethics across the organization. 

The ideal candidate will have experience managing privacy programs for businesses operating in complex, rapidly changing environments and will be an expert in translating broad-based principles into concrete actions and policies. You have a passion for data privacy and developing AI that is innovative, safe, and trustworthy.

About Anthropic
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and for society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business and product.

Responsibilities:

    • Develop, implement, and monitor comprehensive privacy policies, procedures, and controls aligned with relevant regulations such as GDPR and CCPA
    • Handle and automate privacy processes like data subject requests, reporting, and audits where possible
    • Conduct privacy design reviews and work with engineers to integrate privacy by design principles
    • Perform privacy threat modeling, risk assessments, and mitigate privacy risks
    • Create and maintain privacy infrastructure such as consent mechanisms, preference managers, and user controls
    • Monitor systems and data practices to identify privacy issues and ensure compliance.
    • Collaborate with product managers and engineering teams to balance privacy and product objectives
    • Clearly document privacy policies, procedures, architectures, and controls
    • Perform vendor due diligence and onboarding for privacy compliance
    • Report on privacy metrics, issues, and progress to leadership
    • Stay up-to-date on privacy best practices, tools, and emerging technologies

You may be a good fit if you:

    • Have 5+ years of program management experience and have worked in a privacy role at a technology company
    • Have a knack for identifying and implementing efficient processes and policies
    • Have a passion for developing AI that is both innovative and trustworthy. You understand the opportunities of AI to benefit society as well as the risks and limitations that must be addressed
    • Have experience operating in a fast-paced technology startup in which priorities shift rapidly and schedules “move to the left.” You thrive in this dynamic environment and pride yourself on your adaptability and ability to pivot with speed and grace
    • Understand how to achieve the right balance between the organization’s mission and goals, when to be flexible and when to draw a hard line
    • Thrive as a member of cross-functional teams building frontier technologies and want to develop a deep understanding of our technical teams and what we are building
    • Enjoy wearing many hats in a fast-growing startup environment and are comfortable operating outside your areas of expertise and in uncharted legal territory
    • Are a “doer” and are willing to roll up your sleeves to get things done. You’re a team player who doesn’t hesitate to jump in to solve difficult problems

Strong candidates may also have:

    • Deep knowledge of privacy-enhancing technologies and privacy engineering concepts
    • Hands-on experience building privacy features and controls
    • Knowledge of relevant privacy laws and regulations
    • Experience with data mapping, DPIAs, and managing privacy programs
    • The ability to translate complex privacy concepts for broad audiences
    • A passion for advancing privacy and ethical data practices. Familiarity with machine learning, generative models and products strongly preferred.

Annual Salary:

    • The expected salary range for this position is $190k - $270k.
Logistics
Location-based hybrid policy: Currently, we expect all staff to be in our office at least 25% of the time.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Compensation and Benefits*
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

Equity - On top of this position's salary (listed above), equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

Benefits - Benefits we offer include:
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.

* This compensation and benefits information is based on Anthropic’s good faith estimate for this position, in San Francisco, CA, as of the date of publication and may be modified in the future. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.

How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.  We're trying to build a core of knowledge and intuition about the most robustly effective innovations in AI, and so thoroughly-documented null results are almost as valuable as positive discoveries. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!
Anthropic is a public benefit corporation based in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Full-time
Mid Level
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VP of Product
Remote (USCanada) /
We believe AI will be embedded in today's businesses and help people start tomorrow's businesses. Our SaaS product allows entrepreneurs, marketers, and copywriters to use the latest natural language processing (NLP) models to improve their communication and accomplish business goals.

Over 8 million users have signed up to use our application and we're eager to deliver more value for them. Investors in our recent $11 million Series A round include Zach DeWitt at Wing Ventures, David Sacks at Craft Ventures, Li Jin at Atelier Ventures, Alfred Lin at Sequoia, and 80+ other investors. In March 2022, Forbes identified Copy.ai as one of the language processing AI startups part of a billion-dollar wave.

We’re a scrappy startup so this role is what you make of it, but we’ll help you every step of the way. You’ll be able to look back and see your impact as we grow and evolve. There’s a lot to take on, but we trust that you’re up to the challenge.

Copy.ai is a remote company. All employees must be able to work 9am-5pm in any timezone Pacific to Eastern.

Copy.ai has a rare and exciting opportunity to bring on our 1st VP of Product who is going to be our product champion and advocate for our generative AI tools and products. We are looking for a proven Product Leader with big vision, innovative strategy, and the ability to execute on a product road map that will take Copy.ai to the next level. You have already been part of high-impact and successful PLG and/or SaaS startups that have hyper-scaled and even IPO'd. You have been a major player in high-level Product decisions at startups that are disrupting other spaces, and you have the product and business acumen to make such large-scale decisions. You are a natural-born leader and can lead, coach, mentor, and support our existing world class product team comprised of senior product managers and senior product designers. You have previous experience and find pride in leveling up your team so that they can continue to achieve their professional goals and aspirations. You will partner closely with our CEO and Leadership Team to lead product direction and have a solid understanding of which product priorities should make the road map each quarter. Finally, you collaborate warmly and effectively cross-functionally with all surrounding teams including Engineering, Sales, Marketing, Customer Support, Operations, and People, to ensure product and team cohesion throughout the organization. Lastly, you are passionate about the generative AI space and products, and Copy.ai's products and potential specifically, and will be a product champion and advocate from day 1.

What you'll do:

    • Influence and shape Copy.ai's long-term product vision, strategy, goals, and metrics
    • Redefine and redesign the product function; what it's responsible for, how it interfaces with other teams, and how it'll grow and develop over time
    • Enable effective execution. You will collaborate closely with cross-functional partners and the team to create effective collaboration models, processes, and operations to improve execution velocity.
    • Build alignment across product teams and cross-functional leaders through clear communication and strategic influence
    • Lead, coach, motivate, and mentor our highly-capable and growing team of Sr Product Managers and Sr Product Designers

About you; you are:

    • You have 12+ years of Product Management experience; 5+ years directly leading a Product Team at a rapidly-growing startup 
    • You have a proven track record of delivering a unified product vision, having creatively solved complex problems along the way.
    • You’re comfortable being a player/coach, meaning rolling up your sleeves while putting your team first.
    • You're low-ego and a great collaborator. We're a team that prioritizes building trust through speaking candidly so we can learn together.
    • You have experience attracting, developing, mentoring and retaining a high-performing, world-class Product Team
    • Competence in technology disciplines, opportunities, and constraints to bridge both the business and technical aspects of satisfying the customer need
    • You empathize with writers, marketers, and business owners and understand the challenges of bringing creative content to life.
What We Offer 😎:

👫 A close-knit and collaborative early-stage startup environment where every voice is heard and every opinion matters; 40 team members as of 08/2023
💰 Competitive salary and stock option equity packages; We're a Series A startup
🏥  Excellent Medical Plans to choose from including HSA plans, PPOs, and HMOs from Kaiser and Aetna; Dental and Vision insurance; Copy.ai pays up to $700/month per employee for monthly premiums
🏠 100% REMOTE startup! Our team is distributed all over the US and Canada
🛫UNLIMITED PTO; We truly believe in work-life balance and that hard work should be balanced with time for rest and rejuvenation
📈 401k plan and automatic 3% employer contribution from Day 1!!!!
💻 Brand new work-sponsored computer
🏝  IRL / In-Person retreats throughout the year


Copy.ai Organizational Values:

⭐️ Customer focus
⭐️ Transparency
⭐️ Data driven
⭐️ Dog-fooding
⭐️ Writing
⭐️ Creativity
⭐️ Learning
⭐️ Ownership 
Full-time
Senior
Generative Models
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Machine Learning Systems Engineer
Remote, USA
About Us
We are a small team with a big ambition of making modern machine learning accessible for everyone. At CentML, our mission is to enable anyone with an idea to deploy ML models without breaking the bank. We believe that modern AI will fundamentally transform how people work and live and we're here to help bring that future sooner.

Our founding team is made up of experts in AI, compilers, and ML hardware and has led efforts at companies like Amazon, Google, Microsoft Research, Nvidia, Intel, Qualcomm, and IBM. Our co-founder and CEO, Gennady Pekhimenko, is a world-renowned expert in ML systems with a publication history of top papers and multiple academic and industry research awards from Google, Amazon, and Facebook.

As a Machine Learning Systems Engineer, you will
 
Do you want to help drive the development of high-performance, power-efficient datacenter solutions for Deep Learning? Do you have an interest in how system architecture across GPU, networking, CPU and IO relate to brand new generative AI capabilities? Come join our team, and bring your experience and interests to help us optimize our next generation of inference and training frameworks/frameworks and to redefine the deep learning industry once again.

- Communicate with our product teams and profile ML/DL workloads to acquire an in-depth understanding of the problems.
- Design and implement novel solutions to solve the problems.
- Survey and possibly reproduce the state-of-the-art research work; analyze and evaluate if the ideas from the research work could be applied to our solutions.
- Write unit tests and benchmarks to validate and evaluate our solutions.

You may be a good fit, if you have:

    • 2+ years of experience in researching or contributing to ML/DL systems and frameworks (including the time of being a graduate student).
    • Excellent communication skills and the ability to work in a team.
    • Strong coding skills (in at least one of Python and C++).
    • Solid fundamentals in machine learning and deep learning topics.
    • Solid fundamentals in other computer science and computer engineering topics: algorithms and data structures, operating systems, computer architecture, etc.
    • Experience with GPU architecture and programming: CUDA and its related libraries and toolkits (e.g., cuDNN, cuBLAS, CUTLASS, nvprof, Nsight Compute, Nsight Systems, etc.); ROCm and its related libraries and toolkits.
    • Experience with TPU.
    • Strong academic records for candidates with bachelor’s degrees. Strong publication records in top ML/DL or computer system and architecture venues for candidates with master or PhD degrees.
Benefits & Perks
- An open and inclusive culture and work environment
- Twice a week free-lunch
- Full health and dental benefits
- Parental Leave top-up for 6 months
- Gym membership
- Continuous education budget
- Generous vacation - we're not saying unlimited, but if you need extra time to recharge, just ask

How to Apply
Does this position sound like a good fit? Apply online at