Senior Research Scientist

GM•Sunnyvale, CA

1d•Remote

About The Position

As a Senior Research Scientist in General Motors’ AI Research organization, you will advance machine learning to address challenging problems in autonomous driving. You will design state-of-the-art algorithms that enable new vehicle capabilities, help shape technical direction, mentor others, and publish at leading conferences. The AI Research team advances AI for autonomous vehicles by researching, designing, and prototyping techniques such as foundation models, vision-language-action models, diffusion, image and video generation, self-supervised learning, imitation learning, and reinforcement learning. The role is remote, except employees who live within 50 miles of Mountain View are expected to report to that location at least three times a week. The salary range is $170,600 to $261,300. The role may be eligible for relocation benefits and incentive pay based on company performance, job level, and individual performance.

Requirements

Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field.
At least 2 years of experience in AI/ML research and applied development.
Expertise in modern machine learning architectures, including transformers, generative AI, and multimodal systems.
Strong programming skills in Python.
Strong communication, collaboration, and mentoring abilities.

Nice To Haves

Demonstrated research impact in AI/ML through important publications at top conferences or contributions to industry-leading systems.
Autonomous vehicle or advanced driver-assistance systems experience.

Responsibilities

Research, design, and prototype advanced machine learning approaches to advance autonomous driving.
Influence technical roadmaps and shape strategic machine learning priorities aligned with company objectives and product milestones.
Provide technical mentorship and vision.
Collaborate with multidisciplinary engineering groups and foster machine learning innovation across teams.
Represent General Motors externally through publications, patents, and participation in top conferences.