Principal Machine Learning Engineer - AI Research at General Motors

Mountain View, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, ManufacturingIndustries

Requirements

PhD or equivalent in CS/EE
8+ 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
Assist with hiring and mentoring a team of gifted AI scientists and engineers
Lead 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
Define GM’s technical strategy for adopting and investing in AI technologies under the Chief AI Officer
Mentor and grow 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

Key technologies and capabilities for this role

Machine LearningGenerative AIFoundation ModelsMultimodal ModelsRoboticsPrototypingDeploymentSimulation

Questions & Answers

Common questions about this position

What qualifications are required for the Principal Machine Learning Engineer role?

Candidates need a PhD or equivalent in CS/EE, plus 8+ years of experience in AI/ML research and applied development, along with deep expertise in modern ML architectures such as transformers, generative AI, and multimodal systems.

What is the salary or compensation for this position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What is the team structure and culture like for this position?

You will work in the AI Research team reporting directly to the Chief AI Officer, mentoring a world-class team of scientists and engineers in a unique environment combining leading-edge AI/ML research with applications to automotive design and manufacturing.

What makes a strong candidate for this Principal Machine Learning Engineer role?

A strong candidate will have a PhD in CS/EE, 8+ years in AI/ML research, deep expertise in transformers, generative AI, and multimodal systems, plus experience leading projects, mentoring teams, and representing in the AI community.

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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