Staff AI/ML Engineer - AI Research

· Remote

Location

Remote

Type

Full Time

Job Description

Staff AI/ML Engineer - AI Research

Reposted 9 Hours Ago
Sunnyvale CA USA
Hybrid
219K-335K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
We make amazing products people love for every journey.
The Role
The Staff AI/ML Engineer will advance machine learning for autonomous driving by researching and prototyping techniques collaborating with teams and publishing findings.
Summary Generated by Built In
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 an AI/ML Engineer in the AI Research organization you will be advancing the frontier of machine learning to solve challenging problems in autonomous driving. You will implement and experiment with state-of-the-art algorithms that open new possibilities for our vehicles. You will contribute to GM's autonomous vehicles platform and co-author publications 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 diffusion image/video generation self-supervised learning IL RL) to advance the state-of-the-art in autonomous driving.
  • Collaborate closely with multidisciplinary engineering groups helping foster ML innovation across teams.
  • Represent GM externally through publications patents and participation in top conferences.
  • Participate in code reviews documentation technical discussions and academic literature review to support engineering quality and knowledge sharing.

Your Skills & Abilities (Required Qualifications):
  • Bachelor's Master's or Ph.D. in Machine Learning Robotics Computer Science or a related technical field.
  • Strong programming skills in Python and PyTorch with an ability to produce high-quality production-ready code.
  • Experience applying machine learning techniques to real-world systems or large-scale datasets.
  • Experience working with model training pipelines or large-scale data processing workflows.
  • Proficiency with ML building blocks (eg MLPs transformers loss functions).
  • Ability to communicate and collaborate effectively within cross-functional engineering teams.

What Will Give You A Competitive Edge (Preferred Qualifications):
  • Experience publishing AI/ML research in top conferences
  • AV/ADAS experience
  • Experience productionizing reinforcement learning training pipelines

Remote: This role is based remotely but if you live within a 50-mile radius of a General Motors office you are expected to report to that location three times per 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 the California Bay Area.
  • The salary range for this role is $218800.00 to $335300.00. 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 in a company vehicle evaluation program through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
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.
Total Rewards | 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 [email protected] 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.

Top Skills

Python
PyTorch

What the Team is Saying

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The Company
HQ: Detroit MI
165000 Employees
Year Founded: 1908

What We Do

At General Motors our vision is to create a world with Zero Crashes Zero Emissions and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better safer and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward together. We’re building vehicle software alongside its hardware hands-free driving that will lead to autonomy and EVs that charge your home for an all-electric future.

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Employees engage in a combination of remote and on-site work.

Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.

Typical time on-site: 3 days a week
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Date Posted

04/06/2026

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