Senior ML Engineer - Embodied AI Scaling Foundations

General Motors

Olympia, WA(remote)

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JOB DETAILS

SALARY

$159,300–$230,700 Per Year

SKILLS

Antivirus, Apache Spark, Artificial Intelligence (AI), Audiovisual, Autonomous Driving Systems, Best Practices, Code Reviews, Computer Science, Cross-Functional, Data Processing, Data Quality, Data Science, Data Sets, Diversity, Equal Employment Opportunity (EEO), Large-Scale Systems, Leading Edge Technology, Machine Learning, Problem Solving Skills, Process Improvement, Product Development, Production Support, Production Systems, Reinforcement Learning, Retail, Robotics, Scalable System Development, Software Design, State Laws and Regulations, Team Player, Technical Research, Technical Support, Technical Writing, Training Data Sets, Vehicle Fleets

LOCATION

Olympia, WA

POSTED

25 days ago

**Job Description** At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. The Data Scaling team owns the Data Flywheel for AV Foundation model development and successive fine tuning. It defines the composition of the data that is needed for the AV to learn behaviors at scale and deliver the driving behaviors necessary for the product success. The team owns the definition and processes for data quality across the data loop. The team directly works on and delivers ML models to the product that successively go up the Data Scaling curves, thereby directly impacting AV product performance through smart use of data. As part of this work, the team builds scalable systems and pipelines that attempt to 10x the data used, its diversity and impact on the models with successive major releases. The team uses existing very large datasets that GM has access to internally as well as defines the next generation of highest value datasets that GM continues to collect - both from real driving by GM and retail fleets, but also synthetic sim-based datasets. **Why Join Us?** + Scale up AV foundation model pre-training and fine-tuning with data to its maximum capacity - into billions+ of examples - across different sources, delivering the maximum value to the model through every additional example. + Work with cutting-edge technology and a collaborative, high-impact team of AI/ML engineers, data scientists and engineers who are passionate about leveraging advanced AI techniques to drive innovation for L2, L3 and L4 applications. + Contribute to the safety, reliability, and scalability of next-generation autonomous vehicles. As a Senior AI/ML Engineer in the Embodied AI Data Foundations organization, you will develop and deploy machine learning solutions maximally leveraging multiple sources of data including real and synthetic datasets, directly impacting autonomous driving performance. You will contribute to designing and improving ML models that go up the data scaling curves and when deployed, support safe and reliable vehicle behavior across real-world scenarios. You will collaborate closely with senior engineers and cross-functional teams to translate research and technical concepts into production-ready solutions while contributing to engineering best practices and delivery execution. **What You'll Do** + Develop and improve ML solutions aligned with GM's autonomous driving objectives. + Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling/selection, foundation modeling, to solve problems in object detection/tracking/classification, trajectory generation, and safe AI. + Collaborate with cross-functional teams to deploy models into onboard driving systems. + Implement and evaluate models, incorporating research advancements into practical applications. + Contribute to taking ML solutions from experimentation through deployment and production support. + Participate in code reviews, documentation, and technical discussions to support engineering quality and knowledge sharing. **Your Skills & Abilities** + Bachelor's orMaster's degree in Computer Science, Robotics, Machine Learning, or related field. + Experience applying machine learning techniques to real-world systems or large-scale datasets. + Proficiency in PyTorch and Python. + Experience working with model training pipelinesorlarge-scale data processing workflows. + Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark. + Ability to collaborate effectively within cross-functional engineering teams. + Experience deploying ML models into production or working within production ML environments preferred. **Remote/Hybrid:** This role is categorized as fully remote or hybrid. **Compensation** **:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. + The salary range for this role is $159,300.00 to $230,700.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. + Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. **Benefits:** + GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This job may be eligible for relocation benefits. \#LI-CX1 \#GM-AV-1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (https://search-careers.gm.com/en/working-at-gm/total-rewards) . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (https://search-careers.gm.com/en/how-we-hire) . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (https://search-careers.gm.com/en/working-at-gm/)** **Our Culture** **How we hire??????? (https://search-careers.gm.com/en/how-we-hire/)** Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (https://search-careers.gm.com/en/locations/) We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (https://flows.beamery.com/generalmotors/talcom) . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

About the Company

General Motors

LEADING THE CHARGE INTO TOMORROW
AtGeneral Motors, we are passionate about earning customers for life. This vision unites us as a team each and every day and is the hallmark of our customer-driven culture. In fact, there are a lot of exciting things to share about our company.

Our story starts on November 18, 2010, when we completed the world’s largest initial public offering, emerging with a solid financial foundation that enables us to produce great vehicles for our customers and build a bright future for employees, partners and shareholders.Leading the way is our seasoned leadership team who set high standards for our company so that we can give you the best cars and trucks.

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1908

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