General Motors

Senior AI/ML Engineer

General Motors • $170K — $261K *
Mountain View, AR 72560Hybrid
Transportation
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or related field.
  • 2+ years of AI/ML research and applied development experience.
  • Expertise in modern ML architectures such as transformers and multimodal systems.
  • Strong programming skills in Python.
  • Excellent communication, collaboration, and mentoring abilities.

Responsibilities

  • Research, design, and implement advanced Vision-Language Models and Vision-Language-Action models.
  • Develop and execute optimization techniques for onboard models to run efficiently.
  • Collaborate with engineering teams to integrate outputs into vehicle software.
  • Identify high-impact research areas and develop actionable prototypes.
  • Mentor junior researchers and engineers to foster innovation.
  • Secure intellectual property through patents and publish research in peer-reviewed venues.

Benefits

  • Comprehensive health and wellbeing programs including medical, dental, and vision coverage.
  • Health Savings Account and Flexible Spending Account options.
  • Retirement savings plan and life insurance benefits.
  • Paid vacation and holidays, along with tuition assistance programs.
  • Employee assistance program and GM vehicle discounts.
Full Job Description
Job Description

Are you passionate about pushing the boundaries of multimodal artificial intelligence and seeing your models run on physical, real-world systems? As a Senior Research Scientist specializing in Vision-Language Models (VLMs) and Vision-Language-Action models (VLAs), you will be a key contributor in the AI Research organization. You will focus on advancing the frontier of machine learning to solve complex, open-ended problems in autonomous driving.

In this role, you will design, train, and prototype state-of-the-art foundational models that enable our vehicles to understand complex driving environments, reason through difficult edge cases, and map visual-textual inputs directly to safe driving actions. Your primary challenge will be balancing high-capacity AI reasoning with the stringent latency and compute constraints of onboard vehicle hardware. You will actively contribute to our technical direction, collaborate with deployment teams, and publish your findings at top-tier global AI conferences.

What You'll Do
  • Research, design, and implement advanced Vision-Language Models and Vision-Language-Action models to enhance the autonomous vehicle's semantic understanding and decision-making capabilities.
  • Develop and execute techniques for onboard model optimization, including quantization, distillation, and architecture search, to ensure large foundational models run efficiently on vehicle edge hardware.
  • Partner closely with downstream engineering teams (perception, planning, and control) to integrate foundational VLM/VLA outputs into the active vehicle software stack.
  • Contribute to the technical roadmap by identifying high-impact research areas and translating strategic machine learning priorities into concrete, actionable prototypes.
  • Provide technical mentorship to junior researchers and engineers, fostering a culture of excellence and collaborative innovation.
  • Secure intellectual property through patents and represent the company externally by publishing peer-reviewed research at top-tier machine learning 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 a GM 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 $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.

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About General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

General Motors Careers

Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

Work You’ll Do

Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

Transform Your Career

General Motors is not just a company; it's a community where you can grow your skills alongside the best in the industry. Our leadership is committed to providing every employee—from interns to senior professionals—with opportunities for career advancement, leadership development, and diversity training.

Innovate and Lead

At General Motors, innovation is at the core of everything we do. From research and development to manufacturing, our teams work collaboratively to lead the industry with cutting-edge technologies and sustainable practices. We encourage our employees to think big and push the boundaries of what’s possible.

Join Our Global Team

As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

Internship Programs and Employment Benefits

Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

Explore Job Opportunities

Whether you’re a seasoned professional or a recent graduate, General Motors offers positions that leverage your unique skills. Our hiring process is designed to identify and nurture talent, focusing on aligning your capabilities with the right opportunities for growth within the company.

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Join Our Team Search open positions that match your skills and interests. At General Motors, we look for innovative, driven, and solution-oriented team players. Explore the possibilities that await you in a career at General Motors.

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Customize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities available at General Motors. Embark on a journey of growth, innovation, and leadership at General Motors. Shape your future in an environment that fosters diversity, learning, and the pursuit of excellence. Join us and redefine the roads of tomorrow.
Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

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