General Motors
Principal AI / ML Engineer - Embodied AI
$296K–$454K
Mountain View, California, United States of America · Remote/Hybrid · Principal · Full-time · Posted Feb 26, 2026
- Experience
- No minimum number of years stated.
- Education
- Bachelor’s, Master’s or PhD degree in Computer Science with a focus in Robotics and or Machine Learning, or a related field.
About the job
Leads the design, training, alignment, and deployment of machine-learning models for onboard autonomous driving, with a focus on safe and reliable performance in real-world conditions.
What you'll do
- Design and implement ML methods, including pre-training, imitation and reinforcement learning, guidance, and selection.
- Lead foundation-model distillation and other projects from ideation through deployment, collaborating across teams.
- Research AI advances, document practices, and mentor ML engineers.
What they ask for
- Proven experience with large-scale foundation models and alignment methods, translating research into real-world impact.
- Experience delivering applied research in real-world settings and building and scaling performant training pipelines for distributed teams.
- Proficiency with PyTorch and Python; strong data-processing skills using tools such as NumPy, Pandas, and Apache Spark.
- Experience deploying foundation models in production and understanding the end-to-end process.
Nice to have
- Previous experience in Robotics or Autonomous Driving.
- Experience working with tight deadlines.
Pay
$296,300.00 to $453,900.00 USD base salary
Tools
PyTorch, python, Numpy, Pandas, Apache Spark
AI focus
Develops and deploys foundation and onboard driving models for autonomous driving, using alignment, distillation, unsupervised pre-training, imitation learning, reinforcement learning, guidance, and selection to improve safety and reliability.
Model-written summary · the original posting is authoritative