
Senior Research Scientist
Mountain View, CA · HybridFull-time$171–261K/yrPosted 2 days agoStill listed today
Most applications go out cold — see where you stand first. No sign-up to start.
You apply on the employer's site, with no Olive account needed.
Watch jobs like this. New roles like this one near Mountain View, CA, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Requirements
Credentials this posting asks for.
Job overview
The Senior Research Scientist will advance machine learning for autonomous driving within General Motors’ AI Research organization. The role focuses on designing and prototyping advanced algorithms, shaping technical direction, mentoring, and publishing at leading conferences. The team researches and prototypes AI/ML techniques to enable autonomous vehicle capabilities, working collaboratively with engineering groups.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Job 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 a Senior Research Scientist in the AI Research organization, you will be advancing the frontier of machine learning to solve challenging problems in autonomous driving. You will design state-of-the-art algorithms that open new possibilities for our vehicles. Additionally, you will help shape technical directions, mentor, and publish 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.
What You’ll Do
- Research, design, and prototype advanced ML approaches (e.g., foundation models, VLAs, diffusion, image/video generation, self-supervised learning, IL, RL) to advance the state-of-the-art in autonomous driving.
- Influence technical roadmaps, shaping strategic ML priorities aligned with company objectives and product milestones.
- Provide technical mentorship and vision.
- Collaborate closely with multidisciplinary engineering groups, helping foster ML innovation across teams.
- Represent GM externally through publications, patents, and participation in top conferences.
Your Skills & Abilities (Required Qualifications)
- Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field.
- 2+ years of experience in AI/ML research and applied development.
- Expertise in modern ML architectures (transformers, generative AI, multimodal systems).
- Strong programming skills in Python.
- Strong communication, collaboration, and mentoring abilities
What Will Give You A Competitive Edge (Preferred Qualifications)
- Demonstrated research impact in AI/ML technologies either through important publications in top conferences or demonstrated contribution to industry leading systems.
- AV/ADAS experience
Remote: This role is based remotely but if you live within a 50-mile radius of Mountain View, you are expected to report to that location three times a week, at minimum.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
-
The salary range for this role is $170,600.00 to $261,300.00. 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:
- 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.
#GM-AV-1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
How this job compares
Set against the 2,211 open Research Scientist jobs on Olive Jobs, counted November 7, 2026.
- Pay
- This posting$171–261K/yr
- California median$174–268K/yr495 salary ranges
- US median$142–217K/yr1,470 salary ranges
This range's midpoint, $216K, is 4% below the California median midpoint ($224K) — in the middle half of Research Scientist salary ranges in California.
- Openings
- Olive Jobs lists 738 open Research Scientist jobs in California and 2,211 across the US. 3% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 2 years of experience; Research Scientist postings that state a minimum ask for 3 years at the median (1,141 postings).
- Education
- This posting asks for a doctorate or professional degree; 770 of the 2,211 open Research Scientist jobs (35%) ask for a doctorate or professional degree.
Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
Prepare for this role
You've read the whole posting — now see how you match it.


