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Backend Software Engineer – cloud AI services
Cognite
Austin, Texas
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.

You are excited about launching new products and features into production, who can work autonomously and aren’t afraid to try new technologies, and who don’t back down from the challenges of scale. Our ideal candidate has experience building core services and web-based APIs from the ground up, cares just as much about the product itself as the technology that powers it, and is capable of both structuring and writing clean, maintainable code. You will have a chance to work with a team of talented AI researchers and engineers to optimize and deploy the state-of-the-art Large Language Models to our flagship Generative AI products. Our ideal candidate is a dependable backend engineer who also has at least some experience working with and around machine learning systems.

This position offers a unique chance to work on state-of-the-art language models and contribute to transformative research with the vision of saving lives with Industrial Data. You will be part of a dynamic team of researchers and engineers who are passionate about pushing the boundaries of machine learning and natural language understanding in the Industrial domain. Join us and make a significant impact on the future of Industrial DataOps.

What You'll Do

    • You will help build applications that interact with state-of-the-art Large Language Models (LLMs) that deliver cutting-edge and time-saving solutions to Industrial Clients all over the world. 
    • Orchestrate LLM-driven experiences that delight our customers
    • Design and implement highly scalable backend services powering Cognite’s Gen AI products
    • Deploy LLMs to production in a cost efficient way and own their life cycles
    • Own and improve the reliability and latency of AI services in cloud environments
    • Work closely with Product Management & TPMs to translate product requirements into software architectures
    • Provide technical leadership to implement best practices for software development

Who You Are

    • A BS/MS degree in a relevant technical discipline such as Computer Science, and Computer Engineering
    • Experienced software engineer who can design large scale software systems, write high quality code and tests
    • 3+ years of experience in building and deploying scalable cloud based backend services and APIs.
    • Familiar with Kubernetes, Docker, and AWS, Azure or GCP
    • Proficient in Java and Python, and familiar with one or more of the following: Terraform, GraphQL, Javascript
    • Experience in optimizing and deploying large scale deep learning models (e.g. LLMs) in production
    • Experience using large language models through code (such as model services from OpenAI, Anthropic, or Cohere; and/or open source models such as Llama).
    • Experience with any stages in the ML development lifecycle (e.g. data labeling, data curation, data cleaning, model training, model evaluation, model serving, LLM prompting, etc)
    • An excellent communicator with strong organizational, problem-solving, debugging and analytical skills
    • Demonstrated technical leadership in a cross-functional distributed team environment

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
Mid Level
Generative Models
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Machine Learning Engineer – LLM & Generative AI
Cognite
Austin, Texas
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.

Who you are:
We are looking for a highly motivated and talented Machine Learning Engineer to join our AI team. The ideal candidate will have experience in Large Language Modeling (LLM) and DataOps. We are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, then this is the perfect job for you!

Opportunity: Machine learning experts on our team can utilize applied science and software development skills to help tweak Foundation Models that help us address some of the hardest problems towards our vision in making insights from complex Industrial data simple & easy to access. You will work in an exciting and fast-paced environment, collaborating closely with multiple teams across the company. You will work as part of an organization that brings together talent from diverse backgrounds including software engineering, big data, machine learning, AI, and Industrial data architects making our team an exciting place to work. We value and encourage diversity in the belief that our differences make us and our products better.

This position offers a unique chance to work on state-of-the-art language models and contribute to transformative research with the vision of saving lives with Industrial Data. You will be part of a dynamic team of researchers and engineers who are passionate about pushing the boundaries of machine learning and natural language understanding in the Industrial domain. Join us and make a significant impact on the future of Industrial DataOps.

What You'll Do

    • Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
    • Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
    • Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy.
    • Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
    • Deliver the next generation of innovation in trustworthy Industrial Data Insights & Collaboration

Who You Are

    • Extensive software engineering experience in building high performance, large-scale ML systems (Preferably 3 to 5 years of industry experience in the relevant fields).
    • Strong communication skills and the ability to work effectively in a collaborative research environment.
    • Demonstrated leadership abilities, with experience in guiding and mentoring a team of ML engineers.
    • Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems.
    • Strong theoretical and practical background in NLP including experience with state-of-the-art LLM architectures optimized for handling large context and low inference cost.
    • Advanced degree, ideally a Ph.D., in Computer Science, Electrical Engineering, or a related field with specialized research in areas such as machine learning, NLP, Large Language Models (LLMs), multi-modal foundation models, and generative AI techniques.
    • Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI.
    • Solid programming skills in Python and the ability to write clean, efficient, and well-documented code.
    • 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
    • Experience with distributed parallel training, large-scale multi-modal foundation and generative models strongly preferred.
    • Collaborate on modeling techniques to support the full spectrum of LLM tuning including prompt engineering, instruction tuning, Reinforcement Learning from Human Feedback (RLHF), parameter-efficient tuning, and fine-tuning strongly preferred.
    • Familiarity with training multi-modal foundation models and relevant frameworks strongly preferred.
    • Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments.
    • Experience with RAG, dual encoders, or related fields strongly preferred.
    • Experience with JAX.
    • A track record of publications and contributions to the machine learning and natural language processing communities strongly preferred.

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
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Sr. Staff Engineer, State Estimation (R2415)
Shield AI
San Diego Metro Area
Introduction to Shield AI
Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world’s best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI’s products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies. 

As a member of the State Estimation team, you will conduct software development at the intersection of classical state estimation techniques, sensor fusion, artificial intelligence, machine learning, and machine perception. You will develop cutting-edge technology that provides robust and accurate estimates of vehicle pose and surroundings at all times in virtually any environment by fusing sensor data from noisy disparate sources.

What you'll do:

    • Research and develop world-class state estimation algorithms and techniques
    • Write production quality software in C++
    • Write test code to validate your software
    • Collaborate with hardware and test teams to validate your algorithms/code on aerial robots
    • Write analyzers to ingest data and produce statistics to validate code quality
    • Enhance sensor models within a state-of-the-art simulation environment
    • Work in a fast-paced, collaborative, continuous development environment, enhancing analysis and benchmarking capabilities

Required qualifications:

    • M.S. in Aerospace Engineering, Electrical Engineering, Robotics, Computer Science or related quantitative science with 7+ years of professional experience in state estimation, perception, or similar robotics field
    • Proficient with sensor fusion for noisy high-bandwidth exteroceptive sensors on compute-constrained systems
    • Experience prototyping a feature in a high-level language like Python/MATLAB and transitioning it to production code
    • A solid foundation in theory related to controls, state estimation, probabilistic robotics, compute vision, and signal processing
    • Solid experience working in a collaborative development environment including continuous integration and delivery
    • A demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others

Preferred qualifications:

    • Familiarity with high-fidelity simulation and sensor modeling
    • Shipped production grade code for an aerial platform
$173,654 - $246,273 a year
#LI-JM2
#LE
Total package details:
Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity (if applicable)
Temporary employee positions: Hourly within range listed above + temporary benefits package (applicable after 60 days of employment)
*Interns/Military Fellows/Part-time not eligible for bonus, benefits or equity
Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background check.

If you're interested in being part of our team, apply now! 

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 
Full-time
Senior
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Team Lead - Machine Learning Engineer
InstaDeep
Tunis
InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Lagos, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry.

Join us to be a part of the AI revolution!

Are you a Team Lead -  Machine Learning Engineer capable of leading a team sitting at the cornerstone of algorithms, mathematics, and engineering?

If so then keep reading…. 

As Team leader, you are responsible for managing and mentoring junior Research Engineers (REs) in the Engineering team. 
You’ll be responsible for helping those apprentice Research Engineers in developing their expertise by helping them advance in their profession.
Your wisdom will be called upon for understanding business issues, identifying and developing the right AI or cognitive computing technologies to solve them, and bringing their answers to market. You are involved at every step of the project life cycle, including providing technical expertise and establishing projects before sales, driving R&D for POCs, developing MVPs, and ensuring continuous improvement and maintenance for industrialized solutions.

In this role, at InstaDeep, you will report to the Deputy Head of Engineering in Tunis. This role may require overseas travel.

The Team Leader must accomplish the following

    • Managed a team of Research Engineers primarily based in Tunis, with technical mentoring and support.
    • Develop novel algorithms and research ideas in fields such as machine learning, deep learning, and reinforcement learning.
    • Collaborate with the Engineering & Research teams to design and evaluate new algorithms as well as implement known algorithms
    • Write and maintain high-quality, maintainable, and modular code with concise documentation and tests together with researchers and engineers.
    • Report and present experimental results and research findings clearly and efficiently, both internally and externally, verbally and in writing. 
    • Be the client’s point of contact on small or medium projects
    • Actively collaborate with BD team in the pre-sales activities, including but not limited to presenting the company to new prospective clients, writing decks and proposals, participating in calls and meetings, and representing InstaDeep at conferences and events.

Who you are

    • Your team's performance depends on your expertise as a leader of technical teams in high-performance tech environments. 
    • You enable others to succeed, so your job is to ensure that the team delivers.
    • You have created, trained, validated, benchmarked, and monitored machine learning algorithms in production flows. You have learned how to use an extensive data framework to create the pipelines needed to feed models with the appropriate data. 
    • You have a solid understanding of software development, data engineering, machine learning, and operational principles. 
    • You can clearly explain complex outcomes to a wide range of audiences. 
    • You know how to work with product managers to produce successful products
    • You deeply understand data science and statistical methods, tools, and algorithms, such as Spark, Scikit-Learn, TensorFlow, PyTorch, XGBoost, Pandas, MLFlow, or similar MLOps frameworks.

Requirements

    • MSc/PhD degree in computer science or a related scientific field.
    • At least 4 years of professional experience in AI or similar fields
    • experience managing a team of engineers.
    • Experience in developing and debugging in Python. C/C++, or similar languages are a plus.
    • Experience using deep learning frameworks such as PyTorch, Tensorflow, and/or Keras.
    • Proficiency with the Git workflow or similar development with best coding practises
    • Research and software engineer experience demonstrated via contributions to open source, work experience, or coding competitions
    • Excellent communication skills and collaboration with researchers and developers
    • Excellent English skills. French fluency is a plus
Our commitment to our people
We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we’re proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds.

Right to work: Please note that you will require the legal right to work in the location you are applying for.
Senior
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Senior AI/ML Systems Architect - Next-Gen Deep Learning Platforms
Kodiak
Mountain View, CA
Kodiak Robotics has built the best self-driving technology purpose-built for long-haul trucks and defense applications. We care deeply because this technology will save lives and transform the freight industry.  Lauded by commercial partners as the safest and most capable autonomous freight solution on the market, the Kodiak team is ushering in a new era of transportation. We’re led by many of the self-driving industry’s leading minds, who have built Kodiak’s technology from day one to be deployable and scalable.  This includes Kodiak’s unique modular hardware approach that integrates sensors into a streamlined sensor-pod structure, optimizing for perception, scalability, and maintainability. The company delivers freight daily for its customers across the country, for some of the biggest names in trucking and most recognizable brands.  Over the past year and a half, we announced commercial partnerships with a range of companies including IKEAPilot CompanyWerner EnterprisesForwardU.S. Xpress, and CEVA Logistics.  We have demonstrated fundamental tech differentiators such as an on-road fallback, maintaining control of a truck after a catastrophic steer tire blowout, and our hot-swappable SensorPod.

We are looking for an AI/ML Systems Architect with excellent software development skills to join our Machine Learning team. The role involves building and optimizing our world-class deep learning training, evaluation, and deployment infrastructure that underpins the perception systems of our self-driving semi trucks. Proficiency in Python and C++ is essential as you work to enhance our training pipelines and drive forward the reliability and efficiency of our autonomous vehicle technology.

In this role, you will:

    • Drive the architecture and deployment of next-generation deep learning models, forming the backbone of groundbreaking AI solutions and revolutionizing problem-solving approaches.
    • Apply Python and C++ skills in distributed computing to evolve high-performance AI training pipelines, enhancing the user experience and elevating system efficiency in AI applications.
    • Develop new metrics and monitoring for model benchmarking, along with systems for failure detection, insightful visualizations, and predictive improvements, contributing significantly to the AI field.
    • Play a crucial role in improving AI learning processes through sophisticated training data selection and synthesis, and apply advanced techniques to boost the performance and efficiency of deep learning networks.
    • Engage in a dynamic, collaborative environment, focusing on AI/ML innovation with continuous integration and deployment, backed by state-of-the-art resources and a culture fostering creativity and continuous learning.

Qualifications:

    • Strong academic or industry background with a degree (BS, MS, or PhD) in deep learning, machine learning, or data analytics infrastructure, a strong software development background, and proficiency in Python and C++.
    • Exceptional problem-solving skills with a proven track record in building reliable, scalable applications and advanced software engineering.
    • Experience in metrics, data analysis, and scientific evaluation, especially in autonomous systems, coupled with hands-on experience in managing machine learning pipelines in a production environment.
    • Demonstrated ability to collaborate effectively, taking ownership, working towards shared goals within a team, and quickly building and refining systems.
    • Competence in developing durable infrastructure components from scratch, with the ability to clearly and concisely articulate complex technical issues and strong documentation skills.

What we can offer:

    • Competitive compensation package, including equity and biannual bonuses.
    • Comprehensive healthcare plans with options through Kaiser Permanente, Anthem, and Guardian, with benefits like medical coverage with infertility benefits.
    • Flexible PTO and generous parental leave policies.
    • Office perks, including a dog-friendly environment, free catered lunches, a fully stocked kitchen, and free EV charging.
    • Long Term Disability, Short Term Disability, Life Insurance.
    • Wellbeing Benefits: Headspace, One Medical, Gympass, Spring Health.
    • Fidelity 401(k) plan.
    • Commuter, FSA, Dependent Care FSA, HSA.
    • Various incentive programs, including referral bonuses and patent bonuses.
The annual salary range for this full-time position is $150,000-$230,000 + bonus + equity + benefits. Our salary ranges are determined by role, level and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We can share more about the specific salary range for your job level during the hiring process. Please note that the compensation details listed above are base salary only and do not include bonus, equity, or benefits.

At Kodiak, we strive to build a diverse community working towards our common company goals in a safe and collaborative environment where harassment of any kind is strictly prohibited. Kodiak is committed to equal opportunity employment regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or veteran status, or any other basis protected by applicable law.

In alignment with its business operations, Kodiak adheres to all relevant U.S. national security statutes, regulations, and administrative prerequisites. These statutes  may impose limitations on Kodiak's capacity to engage specific individuals in particular roles based on various national security-related criteria. Consequently, the eligibility for this position may hinge on Kodiak's verification of a candidate's residence, U.S. person status, and/or citizenship status. In accordance with these statutes , Kodiak may find it necessary to secure a U.S. government export license before disseminating its technologies to specific individuals. Should Kodiak determine that a candidate's residence, U.S. person status, and/or citizenship status necessitate a license, prohibit the candidate from assuming this position, or otherwise fall under national security-related restrictions, Kodiak explicitly retains the right to either assess the candidate for an alternative position unaffected by such restrictions, under terms and conditions set forth at Kodiak's sole discretion, or, as an alternative, opt not to proceed with the candidate's application.
Full-time
Senior
Deep Learning
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Outstanding Graduate for CTO's Algorithmic Innovation Team
Mobileye
Jerusalem, Israel
Mobileye’s CTO Group is looking for outstanding Algorithm Developers and researchers to join the CTO Group. 
 
Which department will you join?
The “CTO Group” is a small, elite group, whose goal is to build next-generation Algorithmic solutions powering Mobileye’s self-driving car, crowd-sourced HD maps, and advanced driver-assistance systems.
We apply multiple technologies to develop these solutions, including mathematical modeling with classic algorithmic approaches, alongside machine learning, deep learning, and computer vision.
The group consists of top-notch developers and researchers and is headed by world-class scientists.
This is a unique opportunity for a passionate technical leader to join the CTO Group, work closely with the CTO on next-generation projects, develop POCs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community.

What will your job look like:

    • Mathematical modeling and abstraction of real-life problems.
    • Research, design and develop innovative algorithmic solutions.
    • Code design, implementation, and hands-on development

All you need is:

    • Computer Science/Computer Engineering/Mathematics/Physics outstanding graduate from leading institutions
    • MSc/PhD - advantage
    • Outstanding mathematical capabilities
    • Outstanding coding capabilities C++/Python
    • Capable of self-learning scientific articles
    • Background in machine learning/ deep learning/ computer vision - advantage


Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!
Full-time
Junior
Computer Vision
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Computer Vision Engineer
Techruiter
London
A cutting-edge technology company that specializes in developing innovative Machine Learning applications are seeking a talented Computer Vision Engineer to join our dynamic team and help us advance our mission of revolutionizing industries through computer vision technology.

As a Computer Vision Engineer, you will play a crucial role in the research, development, and implementation of computer vision algorithms and applications. You will work on exciting projects that involve image and video analysis, object detection, tracking, and machine learning to solve complex problems in various industries across autonomous systems and entertainment.

Responsibilities

    • Algorithm Development: Research, design, and develop computer vision algorithms to solve real-world problems, such as object detection, image segmentation, and feature extraction.
    • Data Preprocessing: Prepare and preprocess large datasets for training and testing machine learning models. Implement data augmentation techniques to enhance model performance.
    • Machine Learning: Develop and train machine learning models for image recognition, classification, and regression tasks. Fine-tune models to achieve high accuracy and robustness.
    • Object Tracking: Implement and optimize object tracking algorithms to monitor and analyze object movements in videos and image sequences.
    • Deep Learning: Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) to build and deploy computer vision models. Stay updated with the latest advancements in deep learning techniques.
    • Performance Optimization: Optimize computer vision algorithms for real-time processing and efficient resource utilization.
    • Collaboration: Collaborate with cross-functional teams, including software engineers and domain experts, to integrate computer vision solutions into products and systems.
    • Documentation: Maintain thorough documentation of research, code, and experiments. Communicate findings and results effectively to both technical and non-technical stakeholders.
    • Quality Assurance: Conduct rigorous testing and validation of computer vision models to ensure accuracy, reliability, and robustness in various real-world scenarios.

Requirements

    • Bachelor's, Master's, or Ph.D. in Computer Science, Computer Vision, Machine Learning, or a related field.
    • Strong proficiency in computer vision fundamentals, including image processing, feature extraction, and object detection.
    • Proficiency in programming languages such as Python and C++.Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
    • Familiarity with GPU programming and parallel computing.
    • Strong problem-solving skills and the ability to work on challenging and complex tasks.
    • Excellent communication and teamwork skills.
    • Previous experience with computer vision projects or research is a plus.
Full-time
Mid Level
Computer Vision
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Head of Sales
Robust Intelligence
San Francisco Bay Area
Head of Sales - Robust Intelligence

Vision
Robust Intelligence's mission is to eliminate AI Risk. As we transition into a world that is adopting AI into automated decision processes, we inherit a great deal of risk. Data drift, misclassified data, prediction biases and adversarial input easily distort AI outputs and can have detrimental effects. In addition, with viral adoption of new Generative AI based APIs, new risk vectors like prompt injection, prompt extraction, PII exfiltration, factual inconsistency and hallucinations pose significant threat to organizations.  Our flagship products are built to be integrated with existing AI systems and protect against real-time API based 3rd-party AI access to eliminate these risks.
Robust Intelligence is a leading provider of end-to-end AI security solutions for enterprises. Our cutting-edge technology automates the testing and validation of AI models, safeguarding organizations from security, ethical, and operational risks. Backed by prominent investors including Sequoia Capital and Tiger Global, we are proud to work with an expanding list of customers, including JPMorgan Chase, Expedia, ADP, Palo Alto Networks, Deloitte, and key players in the public sector such as the U.S. Intelligence Community and the Department of Defense.
Advancing the state of AI is a collaborative process that requires unusually varied skills and perspectives. To that end, we have built a multidisciplinary team with increasingly diverse backgrounds. Together, we're building the future of secure, trustworthy AI.

About the Role
We are seeking a highly skilled and experienced Head of Sales to establish our sales strategy and process for our AI Security and risk mitigation product offerings. As the Head of Sales, you will play a critical role in defining and expanding our sales efforts for our AI Firewall and MLOps platform. Your primary responsibility will be to develop and execute regional sales strategies, build strategic relationships with key enterprise clients, drive revenue growth, and build a high-performing sales team. 

As a Head of Sales you will:

    • Develop and implement a comprehensive sales strategy aligned with the company's business objectives for AI Security and risk mitigation products
    • Lead and execute sales plans to achieve revenue targets
    • Identify and capitalize on market opportunities, conduct market analysis, and stay informed about industry trends
    • Cultivate and maintain strong relationships with key decision-makers and influencers in target enterprises
    • Collaborate with the executive team to establish partnerships and alliances
    • Drive revenue growth through strategic account management, upselling, and cross-selling
    • Identify and pursue new business opportunities to expand market share
    • Recruit, train, and manage a high-performing sales team
    • Provide mentorship, coaching, and support to ensure the team's success
    • Work collaboratively with cross-functional teams, including product development, marketing, and customer success, to ensure alignment of sales efforts with overall business goals
    • Define and track key performance indicators (KPIs)
    • Provide regular reports on sales performance, market trends, and other relevant insights

What we look for:

    • Minimum of 4 years of experience in a senior sales leadership role
    • Proven track record of success in enterprise sales, particularly in the cybersecurity space
    • Strong leadership skills with a track record of building and managing high-performing sales teams
    • In-depth understanding of AI technologies, security, and risk mitigation, with the ability to communicate complex concepts effectively
    • Strategic thinking and the ability to develop and execute successful regional sales strategies
    • Excellent interpersonal and communication skills
    • Analytical mindset with a data-driven approach to decision-making
$180,000 - $250,000 a year
Full-time
Senior
Senior/Staff Machine Learning Engineer - Foundation Models
Zoox
Foster City, CA
The Prediction & Behavior ML team is responsible for developing machine-learned models that understand the full scene around our vehicle and forecast the behavior for other agents, our own vehicle’s actions, and for offline applications. 

To solve these problems we develop deep learning algorithms that can learn behaviors from data and apply them on-vehicle to influence our vehicle’s driving behavior and offline to provide learned models to autonomy simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team necessarily works very closely with the Planner team in the advancement of our overall vehicle behavior. The Prediction & Behavior ML team also works closely with our Perception, Simulation, and Systems Engineering teams on many cross-team initiatives.

The Behavior Foundation Model team is responsible for building GPT (Generative Pre-Trained) for autonomous driving and ecosystems for prediction and planning for autonomous driving and offline applications. We're looking for experts in this field to come work with us in building these models and applying them to downstream tasks across the company.

Responsibilities

    • You will build the foundation models for on-vehicle and offline applications
    • You will push the boundaries of machine learning in the autonomous driving industry by developing state-of-the-art techniques in self-supervised learning, semi-supervised learning, multi-task learning, and generative models
    • You will leverage our large-scale machine learning infrastructure to discover new solutions
    • You will develop new algorithms to model the future behavior of all other agents in the world
    • You will develop new algorithms to model the future behavior of our own vehicle’s future actions, both in predicting our driving trajectories and estimating their quality in relation to our goals of safety, progress, and comfort
    • You will develop new algorithms to apply generative deep learning to simulation to improve the realism of our offline validation systems
    • You will engineer software that runs on-vehicle to efficiently execute our algorithms in real time
    • You will develop metrics and tools to analyze errors and understand improvements of our systems
    • You will collaborate with engineers on Perception, Prediction, Planning, Simulation, and Systems Engineering to solve the overall Autonomous Driving problem in complex urban environments

Qualifications

    • BS, MS, or PhD degree in Computer Science or a related field
    • Fluency with PyTorch, TensorFlow, or JAX
    • Experience with training and deploying Deep Learning models
    • Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines
    • Fluency in Python and a basic understanding of C++
    • Extensive experience with programming and algorithm design
    • Strong mathematics skills

Bonus Qualifications

    • Experience in training of large and complex models
    • Experience with LLMs
    • Conference or Journal publications in Machine Learning or Robotics
    • Prior experience with Prediction and/or Autonomous Vehicles or Robotics in general
Compensation
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $221,000 to $319,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  

Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.


A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
Full-time
Senior
Generative Models
Software Engineering - Summer Internship 2024
Kumo
Mountain View, CA
Come and change the world of AI with the Kumo team! 

The creation of the data warehouse emerged to solve the analytics problem of large amounts of data. Now, we’ve moved from megabytes to gigabytes to terabytes of data storage with no end in sight and companies invest millions of dollars to store and organize that data and only leverage a fraction of it for machine learning.

With Kumo, we are building the first data platform to seamlessly allow machine learning over data warehouses for faster, simpler, and smarter predictions to combat data waste and maximize data value. Query the future with Kumo.

Kumo.ai is seeking passionate and driven 1) Machine Learning, 2) Infrastructure, and 3) Full Stack Engineer Interns to join our dynamic team. Our internship offers an incredible opportunity to work on real-world projects, gain hands-on experience, and contribute to cutting-edge machine-learning solutions.

Applied Machine Learning Intern

    • Assist in the development and implementation of machine learning models.
    • Collaborate with the team to collect, preprocess, and analyze data for model training.
    • Support in researching and experimenting with new algorithms and techniques.
    • Participate in the evaluation and validation of model performance and accuracy.
    • Contribute to the design and improvement of existing machine learning pipelines.
    • Document and present findings and results to team members.

Infrastructure Intern

    • Collaborate with the infrastructure team to design, implement, and maintain scalable and reliable systems.
    • Assist in the development and deployment of tools for monitoring, logging, and system performance analysis.
    • Contribute to the automation of infrastructure tasks to improve efficiency and reliability.
    • Work closely with cross-functional teams to troubleshoot and resolve infrastructure-related issues.
    • Support the implementation of security best practices and protocols within the infrastructure.

Full Stack Intern

    • Collaborate with the backend development team to design and develop high-quality software solutions.
    • Work cross-functionally with customer teams to understand requirements and translate them into technical solutions to improve Kumo’s product experience.
    • Assist in coding, testing, and debugging backend applications and services.
    • Participate in the optimization and improvement of existing backend systems including the services architecture, language parser and model training data generator for enhanced performance and reliability.
    • Contribute to documentation and participate in code reviews to ensure code quality and maintainability.
Requirements:
Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
Strong understanding of machine learning concepts and algorithms.
Proficiency in programming languages such as Python, R, or similar for data manipulation and model development.
Experience with machine learning libraries/frameworks like TensorFlow, PyTorch, or scikit-learn.
Solid understanding of data structures, algorithms, and statistics.
Excellent problem-solving and analytical skills.
Strong communication and teamwork abilities.

Preferred Skills (not mandatory but a plus):
Previous internship or project experience in machine learning or data science.
Familiarity with big data technologies such as Hadoop, Spark, etc.
Knowledge of cloud platforms (AWS, Google Cloud, Azure) for deploying machine learning models.
Experience with version control systems (Git, SVN).

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.
Internship