Staff Research Scientist

General Motors (GM)

Hybrid

Quick summary

Work type
Hybrid
Location
Mountain View, California
Salary
$218,800–$335,300 / yr
Posted
110 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $185k
This role $277k
$111k most similar roles pay here $359k

This role pays more than 93% of similar roles. Most pay $135,000–$234,037 — the shaded band above. At the midpoint, this role pays about $277k versus about $185k for comparable roles.

Based on 240 similar postings.

Employer

About General Motors (GM)

General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.

General Motors (GM) currently has 123 open roles on FindRole.

Listed pay typically runs $160,200–$261,300 across 73 roles with salary data.

Most-posted roles

View all roles at General Motors (GM)

At a glance

TL;DR · Staff Research Scientist

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As a Staff Research Scientist in the AI Research organization at General Motors, you will lead cutting-edge machine learning research to enhance autonomous driving capabilities. Your daily tasks include designing advanced algorithms and prototyping innovative ML techniques such as foundation models, visual language understanding, diffusion processes, and self-supervised learning. You will also influence technical roadmaps, mentor junior researchers, and publish findings in top conferences. The role requires expertise in modern ML architectures like transformers and generative AI, along with strong Python programming skills. Ideal candidates have a Ph.D. in a relevant field, 5+ years of experience in AI/ML research, and a track record of impactful publications or industry contributions. Experience in autonomous vehicles is preferred.

Skills

Python Transformer Generative_AI Multimodal_Systems RL IL Self_Supervised_Learning Diffusion_Models Image_Video_Generation Foundation_Models VLAs CI/CD

What you'll do

  • Design and prototype advanced machine learning algorithms for autonomous driving.
  • Influence technical roadmaps to align with company objectives and product milestones.
  • Mentor and guide the development of machine learning expertise within the organization.
  • Publish research findings in top conferences and contribute to industry-leading systems.
  • Collaborate on multidisciplinary projects to foster ML innovation across teams.

What we're looking for

  • Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or related field.
  • 5+ years of experience in AI/ML research and applied development.
  • Expertise in modern ML architectures including transformers, generative AI, and multimodal systems.
  • Strong programming skills in Python with a focus on advanced ML techniques.
  • Proven track record of impactful research in top conferences or industry-leading systems.
  • Experience in autonomous driving (AV/ADAS) technologies.

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