Staff AI/ML Engineer - AI Research

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'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.

• 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.

• 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.

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

• The salary range for this role is $218,800.00 to $335,300.00. 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 incentive pay program offers payouts based on company performance, job level, and individual performance.

• 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.