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Senior Integrations Engineer
Observe.AI
Bangalore
About Us
Observe.AI is the fastest way to boost contact center performance with live conversation intelligence. Built on the most accurate AI engine in the industry, Observe.AI uncovers insights from 100% of customer interactions and maximizes frontline team performance through coaching and end-to-end workflow automation. With Observe.AI, companies can act faster with real-time insights and guidance to improve performance, from more sales to higher retention.
Observe.AI is trusted by hundreds of customers and partners, including Pearson, Accolade, Group 1 Automotive, Southeast Trans, and Public Storage. Our recent $125 million Series C led by Softbank Vision Fund 2 with participation from Zoom Video Communications, Inc., brings our total funding to date to $213M, with investments from Menlo Ventures, Next47, NGP Capital, Emergent Ventures, Scale Ventures, Nexus Ventures, and Y-Combinator. For more information, visit www.observe.ai.
The Opportunity:
We’re looking for a Senior Implementation Engineer(Sr. IE) to join our Integrations Team within the Customer Success organization at Observe.AI. As an IE, you will work with our recently closed customers and ensure that our customers are implementing optimal workflows and integrating smoothly with our AI platform; this includes spearheading conversations about deliverability, API, and CaaS architecture with customers at various levels of a company. You will be responsible for making sure every task and project you work on is done within a timely manner and leads to a successful onboarding to help accelerate value and conquer change management. This position will work closely with Implementations, Success, Engineering, Sales Engg & Product and is ultimately the main person responsible for technical conversations with newly onboarded customers.
What You Will Do as a Senior Integrations Engineer :
- Communicate Observe.AI’s infrastructure and technology to customers
- Plan and Execute Integrations with OAI for the clients to understand their CCAAS setup and data export mechanisms
- Handle Complex Integrations independently
- Interact with clients directly and drive technical discovery calls
- Perform Level 2 support and triage of client technical issues and create detailed engineering tickets outlining reported problems
- Oversee the planning, tracking, and completion of the customer integration process for technical configuration
- Write scripts following best practices, logging and also should be able to deploy, set alerts, and monitor the jobs
- Handle Escalations and provide timely solutions
- Work with cross-functional teams on issues, custom requests, potential ideas, etc
- Document Complex integrations, technical processes, solutions/steps addressing specific issues, etc
- Build Tools and Solutions addressing and automating Internal issues/processes and also for cross-functional teams like Tech Support, SE, Implementations, CSM, etc
- Identify and understand implementation and configuration risks, coordinate with respective teams as applicable to mitigate and resolve
- Be the technical escalation point of contact for the team and technical subject matter expert
- Spearhead technical conversations with customers in partnership with the Implementations and Success team throughout the post-sales cycle and communicate Observe.AI’s infrastructure and technology to customers
- Provide tactical solutions for strategic customers to provide optimal setup and workflow in Observe.AI
- Partner closely with SE and engineering team organization to develop proof of value(POV) as applicable and help Observe.AI customers make the most of their integration deployments
- Guide junior engineers with Integrations and Prod issues
- Develop a Good understanding of Integration aspects, and technologies used for Integrations like AWS (S3, Lambda, CLI), MongoDB, Python, Command line, etc
- Develop a Good understanding of additional AWS concepts like managing Bucket Policies, Permissions, EC2 - Instances, SQS, Cloudwatch, CloudTrail, Systems Manager, Transfer Family
Who you are:
- 2+ experience in a customer-facing technical role
- 2+ years of experience in development/sales engineering/integration engineering, SaaS/cloud-hosted solutions preferred
- 4-6 years of Enterprise Software experience
- Excellent troubleshooting skills
- Excellent presentation and interpersonal skills
- Proven track record of managing technical projects
- Experience with programming languages such as Python, Java, etc
- Experience with cloud computing services including AWS
- Highly motivated self-starter who does not need day-to-day management
- Must have excellent communication skills and be able to communicate technical issues to non-technical people.
- Experience in SaaS to Enterprise data integration a plusSelf-starter & quick learner - ability to quickly pick up new software, including the Observe.AI product as well as the software solutions that our customers currently use, which are often industry-specific.
About the Team:
The team consists of 7 enthusiastic folks, 6 in India and 1 in the US, eager to learn new technologies and automate the processes. A couple of engineers have been with the company for more than 3 years and have been part of this great journey where the company and systems have evolved dramatically.
We give importance to the Turnaround time and Quality of delivery to the customer. Love an open brainstorming culture to improve existing processes and to come up with new ideas and suggestions.
Compensation, Benefits and Perks
Excellent medical insurance options and free online doctor consultations
Yearly privilege and sick leaves as per Karnataka S&E Act
Generous holidays (National and Festive) recognition and parental leave policies
Learning & Development fund to support your continuous learning journey and professional development
Fun events to build culture across the organization
Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)
Our Commitment to Inclusion and Belonging
Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.
We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.
If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.
Full-time
Senior
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? 🏆 🚀
- 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 sustainability for 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!
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
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? 🏆 🚀
- 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 sustainability for 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!
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
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
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
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 IKEA, Pilot Company, Werner Enterprises, Forward, U.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
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
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
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
Meeno: Senior Product Manager - Growth & Engagement
San Francisco Bay Area
About Meeno
Meeno is a relationship mentoring platform, powered by generative AI. The company was founded by former Tinder CEO, Renate Nyborg and is backed by Sequoia, Andrew Ng’s AI Fund and NEA. Check out a talk by our founder on YouTube to learn more.
Meeno is on a mission to help people master the skill of social connection. 4 in 5 Gen Z’s feel lonely, and we are building a personalized mentor that helps users build close relationships: from friends to family, from work to romance. Our privacy-preserving and cutting-edge technology, powered by Large Language Models (LLMs), provides personalized and effective mentoring solutions to people seeking guidance.
We are looking for a Senior Product Manager, Growth & Engagement to lead Meeno’s engagement/retention and growth roadmap. Reporting to the CEO, you will play a meaningful role in driving Meeno’s future through product experiences designed to delight users and make a genuine impact on their relationship goals and issues. This is a unique chance to join a 0-1 business in the gen AI space that is focused on solving problems in society.
You will play an integral role in strategic direction across all aspects of the business, contributing to our roadmap across ML, product, engineering and design initiatives. Your leadership will span Product Management, Data Analytics, User Research and UX/UI Design. You will help create a culture that balances the speed and agility of a startup, while handling highly sensitive data.
In short, you will marry art and science, touch hearts and minds, and be thanked by users for changing their lives. If this sounds like your dream… apply to join the Meenions today!
What You Are:
- Passionate about Meeno’s mission to improve social connection with generative AI
- A great communicator, able to build rapport with a first-class Engineering team
- Velocity is your middle name, you thrive on setting and beating deadlines
- Super comfortable using data, analytics and metrics to inform product decisions
- Humble, creative and audacious when it comes to finding signal (results over process)
- Highly organized and autonomous in your ways of working
- Curious about the wonderful world of generative AI!
What Will Make you Stand Out:
- An interest in mental wellbeing or education is a plus!
- Experience building and shipping consumer apps
- Experience with generative AI and LLMs
- Experience building delightful products for Gen Z
- Experience as an engineer, or data scientist
What You Will Deliver:
User Insights & Discovery
- We are building this for & with our users! Follow in the footsteps of our CEO, who has been running around college campuses and coffee shops to gain direct insights
- Empathetic, and able to build rapport with target users, especially Gen Z and people experiencing social anxiety
- Spend a lot of time outside to test new features IRL
Strategy
- Build a product roadmap that is aligned with our mission to help users (especially Gen Z) overcome social anxiety, informed by data/analytics and rapid experimentation
- Drive our vision for “product-channel fit”, creating an experimentation mindset around the right distribution channels further down the line
- Partner with the Meeno team and CEO to delight users, measured through growth and engagement of our user base
Leadership
- Communicate your vision for product growth and engagement initiatives
- Be a great teammate to our engineering team, ensuring consensus on key decisions, agreement on strategic direction, and alignment of resources
- Partner with cross-functional teams to ensure everyone is working in lockstep, including Community, Social Media and Marketing
- Adapt to the needs of a zero to one, versus a scaled up business over time
- Advocate for agility to shift priorities as needed, whilst ensuring stakeholder consensus
Delivery
- Rapidly iterate the Meeno platform, ensuring it drives growth and engagement
- Calibrate expectations about product deliverables and results, adhering to deadlines and acting as a velocity driver
- Translate business needs to functional plans for Engineering, Design and Analytics
- Manage data analysis and reporting using Mixpanel, translating insights into product specs and ideas for experimentation
- Provide PR, Marketing and Social with actionable insights to expand our user base
User Impact
- Sincere empathy for Meeno’s users and their relationships goalsUnderstand the “voice of our global members” and help drive localization
- Ensure effective rollout of new products across iOS and distributed platforms
- Set a high bar for delighting users with every aspect of our product
Meeno is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Full-time
Senior
Generative Models