Principal AI / ML Engineer - Embodied AI

General Motors; Mountain View (CA); Hybrid; USD 296,000 - 454,000; Full time

Benefits offered by this job

GM vehicle discounts

Health and wellbeing benefits

Tuition assistance program

Total Rewards resources

Job summary

General Motors is seeking a Principal Technical Lead in Embodied AI to drive end-to-end ML solutions for autonomous driving. This senior role focuses on designing, architecting, and deploying advanced models, guiding cross-functional teams, and mentoring engineers to advance onboard ML capabilities.

The ideal candidate has experience with large foundation models, RL/IL, and production deployments, with strong Python/PyTorch skills and a robotics/ML background.

Qualifications

• Bachelor’s, Master’s or PhD in Computer Science with focus in Robotics and/or Machine Learning.
• Proven experience with large-scale Foundation Models and alignment methods.
• Experience delivering applied research in the wild and meeting tight deadlines.
• Proficiency in PyTorch; proficient in Python.
• Experience building and scaling large model training pipelines for distributed teams.
• Strong data processing skills with Numpy, Pandas, and Apache Spark.
• Excellent communication to collaborate with diverse teams.

Responsibilities

• Design and implement technologies aligning models with GM’s mission.
• Apply unsupervised pre-training, imitation learning, reinforcement learning, guidance and selection to improve model performance and safety.
• Collaborate to integrate distillation recipes for onboard driving models.
• Conduct research and stay updated on AI frameworks and libraries.
• Lead projects from ideation to deployment and document learnings.
• Mentor junior team members and promote knowledge sharing.

Skills

Foundation Models

PyTorch

Python

Robotics

ML Engineering

Education

Bachelor’s/Master’s/PhD in CS/Robotics/ML

Tools

Numpy

Pandas

Apache Spark

Job description

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’returningtoday’simpossible 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 peopleas we aim to makedriving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role:

As a Principal Technical Lead in the Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions directly impacting autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced ML models to reliably and safely navigate diverse real-world scenarios and conditions. You’ll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor ML engineers, and significantly shape the future of onboard ML capabilities.

What You’ll Do:

• Design and implement technologies that align our models to GM’s 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:

• 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 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:_This role is based remotely but if you live within a 50-mile radius of Austin, Detroit, Warren,Milfordor Mountain View, you are expected to report to that location three timesperweek, at minimum.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not berepresentative for positionslocatedoutside of the California Bay Area.

• The salary range for this role is $296,300.00 to $453,900.00. 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 incentivepayprogram offers payouts based on company performance, job level, and individual performance.

Benefits:

• 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, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more.

This job may be eligible forrelocationbenefits.

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

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