Staff Data Scientist – AI & Robotics at General Motors

Warren, Michigan, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Automotive, Manufacturing, RoboticsIndustries

Requirements

10+ years of experience in data science, machine learning, or robotics
Strong background in multimodal data processing and self-supervised learning
Experience with simulation platforms and real-world data integration
Proficiency in programming languages such as Python and/or C++
Master’s degree in Data Science, Computer Science, Robotics, or related field or equivalent experience
Proven leadership and collaboration skills

Responsibilities

Lead development of data pipelines for multimodal robotic datasets
Innovate in self-supervised learning and simulation-to-real data transfer
Ensure quality and scalability of training datasets for AI models
Collaborate with AI & Simulation and Robotics Intelligence teams
Establish best practices for data curation and labeling
Mentor junior data scientists and engineers

Skills

Python

C++

multimodal data processing

self-supervised learning

simulation-to-real transfer

data pipelines

data curation

data labeling

machine learning

robotics

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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