Senior Research Scientist

General Motors•Sunnyvale, CA
•$170,600 - $261,300•Remote

About The Position

As a Senior Research Scientist in General Motors’ AI Research organization, you will advance machine learning to solve challenging autonomous-driving problems. You will design and prototype state-of-the-art algorithms that enable new capabilities in GM vehicles, help shape technical direction, provide mentorship, and publish research at leading conferences. The AI Research team researches, designs, and prototypes advanced AI and machine-learning techniques for autonomous vehicles. Areas include foundation models, vision-language-action models (VLAs), diffusion, image and video generation, self-supervised learning, imitation learning, and reinforcement learning. The role works collaboratively with multidisciplinary engineering groups to help advance autonomous driving and foster ML innovation across teams. The position is remote. Employees who live within 50 miles of Mountain View are expected to report to that location at least three times per week. The stated salary range is $170,600 to $261,300, with potential incentive pay based on company performance, job level, and individual performance. Relocation benefits may be available.

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 technologies through important publications at top conferences or contributions to industry-leading systems.
  • Autonomous vehicle or advanced driver-assistance systems (AV/ADAS) experience.

Responsibilities

  • Research, design, and prototype advanced machine-learning approaches to advance the state of the art in 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.

Benefits

  • Medical, dental, and vision benefit options.
  • Health Savings Account and 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.
  • Incentive pay program with payouts based on company performance, job level, and individual performance.
  • Relocation benefits may be available.
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