General Motors · 6 months ago
Principal ML Engineer - Embodied AI
United States
Full-time
Remote
Lead/Staff
$259K/yr - $396K/yrGeneral Motors is focused on developing and deploying large-scale Foundation Models to enhance automotive technologies, particularly in Autonomous Driving and Robotics. The Principal ML Engineer will work with a team of AI and ML researchers to design and implement technologies that scale Foundation Models and mentor junior team members while contributing to innovative solutions.
Electric VehicleTransportationManufacturingAutomotiveInformation TechnologyInformation Services
Responsibilities
Design and implement technologies that will deliver scaling laws for our Foundation Models for various applications
Scale up foundation model pre-training with data to its maximum capacity – into billions+ of examples - across different sources, delivering the maximum value to the model through every additional example
Directly work on or collaborate closely with teams that scale up training and eval infrastructure to handle multi-billion examples across distributed machines and GPUs, while providing efficient time to model checkpoint
Collaborate with cross-functional teams to integrate & built distillation recipes of Robotics foundation models for onboard driving models
Conduct research and stay updated on the latest advancements in AI scaling 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
Qualification
Required
Bachelor's, Master's 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, including LLMs, VLAs and vision-focused models
Proven experience in solving data scaling challenges, ranging from data diversity, data quality and building best practices to incorporate multiple data sources in large models
Proficiency in frameworks such as PyTorch, with experience in libraries like HuggingFace and OpenAI GPT
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
Benefits
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
This job may be eligible for relocation benefits.
Company
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
Founded in 1908
10001+ employees
H1B Sponsorship
General Motors has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (787)
2024 (740)
2023 (450)
2022 (795)
2021 (748)
2020 (452)
Funding
Current Stage
Public CompanyTotal Funding
$8.51BKey Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M
Leadership Team
Mary Barra
Chair and Chief Executive Officer
Tony Cervone
Senior Vice President, Global Communications
Recent News
Portfolio Adviser
2026-03-05
2026-03-05
2026-03-04
Company data provided by crunchbase