Staff AI/ML Engineer - AI Research

GM • Sunnyvale, CA

1d • Remote

About The Position

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’re turning today’s impossible 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 people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. Role : As an AI/ML Engineer in the AI Research organization, you will be advancing the frontier of machine learning to solve challenging problems in autonomous driving. You will implement and experiment with state-of-the-art algorithms that open new possibilities for our vehicles. You will contribute to GM’s autonomous vehicles platform and co-author publications at top conferences. About the Organization : The AI Research team advances the state-of-the-art in AI for autonomous vehicles. We research, design, and prototype advanced AI/ML techniques (e.g., foundation models, VLAs, diffusion, image/video generation, self-supervised learning, IL, RL) that help our vehicles unlock new autonomous capabilities. Join a collaborative and innovative team redefining autonomy.

Requirements

• Bachelor’s, Master’s, or Ph.D. in Machine Learning, Robotics, Computer Science or a related technical field.
• Strong programming skills in Python and PyTorch with an ability to produce high-quality, production-ready code.
• Experience applying machine learning techniques to real-world systems or large-scale datasets.
• Experience working with model training pipelines or large-scale data processing workflows.
• Proficiency with ML building blocks (eg MLPs, transformers, loss functions).
• Ability to communicate and collaborate effectively within cross-functional engineering teams.

Nice To Haves

• Experience publishing AI/ML research in top conferences
• AV/ADAS experience
• Experience productionizing reinforcement learning training pipelines

Responsibilities

• Research, design, and prototype advanced ML approaches (e.g., foundation models, diffusion, image/video generation, self-supervised learning, IL, RL) to advance the state-of-the-art in autonomous driving.
• Collaborate closely with multidisciplinary engineering groups, helping foster ML innovation across teams.
• Represent GM externally through publications, patents, and participation in top conferences.
• Participate in code reviews, documentation, technical discussions, and academic literature review to support engineering quality and knowledge sharing.

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.
• This job may be eligible for relocation benefits.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree