Staff Machine Learning Engineer – AI Research at General Motors

Mountain View, California, United States

General Motors Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AutomotiveIndustries

Requirements

  • PhD or equivalent in CS/EE
  • 5+ years of experience in AI/ML research and applied development
  • Deep expertise in modern ML architectures (transformers, generative AI, multimodal systems)
  • Proven track record of leading AI projects from research to production at scale
  • Strong programming skills in Python and proficiency in one or more systems languages (C++/Go/Java)
  • Experience deploying AI systems on cloud-based GPUs/TPUs (AWS, Azure, GCP)
  • Recognized thought leader in the AI/ML community with demonstrated impact (research breakthroughs, patents, or widely adopted technologies)
  • Exceptional ability to mentor, influence, and collaborate across technical and business teams
  • Preferred Qualifications
  • Demonstrated expertise in developing and training multimodal foundation models
  • Demonstrated research impact in AI/ML technologies either through important publications in first tier conferences or demonstrated contribution to industry leading systems

Responsibilities

  • Evaluate, prototype, and implement impactful AI solutions to design and manufacturing operations at GM (e.g., foundation models for large scale design tasks, generative AI for robotics tasks, generative AI for design and modeling physical systems)
  • Develop plans and execute projects to integrate AI into GM’s manufacturing, vehicle design, software development, customer support, and other products and processes
  • Stay on the forefront of AI models and architecture, making informed decisions on technology adoption and investment
  • Participate in the research, design, and prototyping of advanced AI models (foundation models, generative AI, multimodal architectures) applied to automotive and robotics domains
  • Translate breakthrough AI research into scalable, production-ready systems across design, manufacturing, software, and customer experience
  • Join a high-performing team of machine learning researchers and engineers
  • Collaborate with product, design, and engineering leaders to identify high-impact AI opportunities
  • Represent GM externally through publications, open-source contributions, patents, and participation in leading AI conferences

Skills

Machine Learning
Foundation Models
Generative AI
Robotics
Prototyping
Deployment
Simulation
Multimodal Models

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters
1908Year Founded
$486.7MTotal Funding
IPOCompany Stage
Automotive & Transportation, Financial ServicesIndustries
10,001+Employees

Benefits

Paid Vacation
Paid Sick Leave
Paid Holidays
Parental Leave
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
401(k) Company Match
401(k) Retirement Plan
Tuition Reimbursement
Student Loan Assistance
Flexible Work Hours
Discount on GM vehicles

Risks

Shutting down Cruise Robotaxi may affect investor confidence in GM's AV strategy.
Chevrolet Equinox EV recall could harm GM's safety reputation.
Leadership transition in design may disrupt continuity and brand identity.

Differentiation

GM's Dynamic Fuel Management system enhances fuel efficiency in traditional vehicles.
GM leads in board diversity with 55% women directors.
GM's pivot to personal autonomous vehicles aligns with consumer trends.

Upsides

Partnership with Nvidia boosts GM's autonomous vehicle technology capabilities.
Collaboration with ChargePoint expands EV charging infrastructure, enhancing consumer appeal.
Bryan Nesbitt's appointment as design head may bring innovation to GM's vehicle design.

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