Jobs / United States / General Motors Company

General Motors Company

Research Scientist

Sunnyvale, California, United States of America Posted today $138,200

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 606 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What General Motors Company paid sponsored hires in similar roles6 certified filings for “Artificial Intelligence Machine Learning Scientist” (Computer and Information Research Scientists) in CA: $185k–$245k, median $200k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 606 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What General Motors Company paid sponsored hires in similar roles
6 certified filings for “Artificial Intelligence Machine Learning Scientist” (Computer and Information Research Scientists) in CA: $185k–$245k, median $200k. Most were filed at wage level II (67%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

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 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.   • 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 or similar experience • Deep expertise in modern ML architectures (transformers, generative AI, multimodal systems).   • Strong programming skills in Python.  • Strong communication and collaboration.​ 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 $138,200.00 to $211,700.00. 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.  Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate 

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