Principal ML Engineer – Embodied AI Scaling Foundations

General Motors

Principal ML Engineer scaling foundation models for General Motors’ autonomous vehicles. Developing data curation and training pipelines for safer, more reliable AV performance.

Posted 9/9/2026full-timeMountain View • California, Washington • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying large-scale Foundation Models, with a strong focus on data curation algorithms and training pipelines for autonomous vehicles. Proficient in collaborating with cross-functional teams and mentoring junior members to drive continuous improvement and innovation.

Highest-signal resume keywords

Foundation Model DevelopmentData Curation AlgorithmsPyTorch ProficiencyLarge Model Training PipelinesRobotics Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ProcessingUnsupervised Pre-TrainingImitation LearningReinforcement LearningPython ProficiencyApache SparkNumPyPandasModel Deployment

Soft Skills

Excellent CommunicationCollaborationMentoring

Certifications & Qualifications

Bachelor’s DegreeMaster’s DegreePhD Degree

Industry Keywords

Autonomous VehiclesAI FrameworksFoundation Model AlignmentProduction EnvironmentsCross-Functional Collaboration

Tech Stack

Tools & technologies

ApacheNumpyPandasPythonPyTorchSpark

About the role

Key responsibilities & impact

Scale AV foundation model pre-training and fine-tuning with data into billions of examples across different sources
Design and implement technologies aligned with GM’s mission
Develop novel data curation algorithms, pre-training, post-training, and fine-tuning recipes for AV models
Design, architect, and deploy data curation and training pipelines
Apply unsupervised pre-training, imitation learning, reinforcement learning, guidance, and selection techniques
Collaborate with cross-functional teams to integrate and align foundation-model distillation recipes for onboard driving models
Conduct research and stay current with AI frameworks and libraries
Lead projects from ideation through deployment and document learnings and best practices
Lead critical technical initiatives and collaborate with cross-functional teams
Mentor junior team members and contribute to knowledge sharing and continuous improvement
Develop ML models that improve the safety, reliability, and scalability of autonomous vehicles

Requirements

What you’ll need

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
Proven experience delivering applied research in production environments and maintaining best practices under tight deadlines
Proficiency with PyTorch and Python
Proven experience building and scaling large model training pipelines that are performant and enable quick iteration by distributed teams
Strong data processing skills using NumPy, Pandas, and Apache Spark
Experience deploying foundation models into production environments and understanding the end-to-end process
Previous experience in Robotics or Autonomous Driving
Excellent communication skills to collaborate with diverse teams and stakeholders

Benefits

Comp & perks

Medical, dental, and vision benefits
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation and holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts
Company vehicle evaluation program, subject to successful motor vehicle report review
Relocation benefits may be available