[Remote] Staff Research Scientist at General Motors

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, Autonomous VehiclesIndustries

Requirements

Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field
5+ years of experience in AI/ML research and applied development
Deep expertise in modern ML architectures (transformers, generative AI, multimodal systems)
Strong programming skills in Python
Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding ML excellence across the organization

Responsibilities

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, shaping strategic ML priorities aligned with company objectives and product milestones
Provide technical mentorship and vision
Collaborate closely with multidisciplinary engineering groups, helping foster ML innovation across teams
Represent GM externally through publications, patents, and participation in top conferences

Skills

Key technologies and capabilities for this role

Machine LearningDeep LearningFoundation ModelsDiffusion ModelsSelf-Supervised LearningImitation LearningReinforcement LearningAutonomous DrivingAI ResearchComputer Vision

Questions & Answers

Common questions about this position

What is the salary range for this Staff Research Scientist role?

The salary range for this role is $198,900 to [upper limit not fully specified in the description]. This is a good faith estimate based on California Bay Area locations and applicable state laws.

Is this position fully remote, or are there office requirements?

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 per week at minimum.

What are the required skills and qualifications for this role?

Candidates need a Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or related field, 5+ years of AI/ML research and applied development experience, deep expertise in modern ML architectures like transformers and generative AI, strong Python programming skills, and excellent communication, collaboration, and mentoring abilities.

What is the culture like in the AI Research team at General Motors?

The AI Research team is collaborative and innovative, focused on advancing the state-of-the-art in AI for autonomous vehicles, with opportunities to work closely with multidisciplinary engineering groups and represent GM externally.

What makes a candidate stand out for this Staff Research Scientist position?

A competitive edge comes from demonstrated research impact in AI/ML through important publications in top conferences or contributions to industry-leading systems, plus AV/ADAS experience.

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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