General Motors

Principal ML Engineer - Embodied AI Scaling Foundations

General Motors • $162K — $195K *
Mountain View, CA 94040Hybrid
Transportation
5 - 7 years of experience
Reposted Today
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Full Job Description
Job Description

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.


As a Principal Technical Lead in the Embodied AI Data Foundations organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions maximally leveraging multiple sources of data including real and synthetic datasets, directly impacting autonomous driving performance. Towards this goal, you will lead the development of novel curation algorithms, pre-training, post-training and fine-tuning recipes for training AV models.

Your role is pivotal in designing, architecting, and deploying data curation and training pipelines while simultaneously delivering advanced ML models that continue to go up scaling curves. These models will reliably and safely navigate diverse real-world scenarios and conditions. Youll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor ML engineers, and significantly shape the future of onboard and offboard ML capabilities.

What Youll Do:

  • Design and implement technologies that align our models to GMs mission.


  • Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, guidance, and selection to raise the performance of our models and provide a layer safety and reliability.


  • Collaborate with cross-functional teams to integrate & align distillation recipes of foundation models for onboard driving models.


  • Conduct research and stay updated on the latest advancements in AI frameworks and libraries.


  • Lead projects from ideation to deployment, documenting learnings and best practices along the way.


  • Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement.


Your Skills & Abilities:

  • Bachelors, Masters or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field.


  • Proven experience working with large-scale Foundation Models and alignment methods to translate research into real-world impact.


  • Proven experience delivering applied research in the wild and maintaining best practices while working on tight deadlines.


  • Proficiency in frameworks such as PyTorch and languages such as Python.


  • Proven experience in building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams.


  • Strong data processing skills using tools like Numpy, Pandas, and Apache Spark.


  • Excellent communication skills to effectively collaborate with diverse teams and stakeholders.


  • Experience deploying foundation models into production environments and understanding the end-to-end process.


  • Previous experience in Robotics or Autonomous Driving.


Remote/Hybrid: This role is categorized as fully remote or hybrid.

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.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Relocation: This job may be eligible for relocation benefits.

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About General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

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Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

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As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

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Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

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Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

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