Senior Researcher – AI and Vehicle Controls, Reinforcement Learning at General Motors

Warren, Michigan, United States

General Motors Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Automotive, ResearchIndustries

Requirements

  • U.S. Citizenship
  • PhD or MSc with 3+ years of experience in AI, ML, computer science, engineering, physics or relevant areas
  • Expert-level knowledge in one or more of: Control theory, autonomous agents, Robotics, and reinforcement learning
  • Experience creating and implementing control algorithms
  • Expertise in manipulating high-volume, high-dimensional data from varying sources with machine learning techniques
  • Experience in prototyping algorithms, implementing and testing software on hardware
  • Programming background: Python, AI/ML environments (PyTorch, TensorFlow, sklearn, etc.), Matlab, dSPACE
  • Strong analytical capabilities
  • Excellent verbal/written communication in English along with strong interpersonal skills
  • Passion for applying AI and Controls to impact the future of mobility

Responsibilities

  • Lead research and/or experiments to validate research ideas in development
  • Write timely and high-quality research reports, external publications, and records of invention to document new ideas and research results
  • Lead novel applied AI and Controls research
  • Develop AI/ML/Controls technologies that will change the future of mobility
  • Collaborate with world-class universities / industry partners while publishing research outcomes internally and externally
  • Explore, invent, innovate, implement, evaluate and test algorithms as an independent yet integral member of a research team
  • Identify research gaps, propose, plan and execute complex research projects
  • Maintain state-of-the-art technical expertise in AI/ML/Controls
  • Generate intellectual property, document results and publish papers
  • Demonstrate strong interpersonal skills and ability to work in a team environment including cross-functional global teams and research Universities
  • Develop requirements and evaluation metrics for AI/ML/Controls
  • Travel to GM’s Milford location as needed to conduct experiments and testing

Skills

Key technologies and capabilities for this role

AIReinforcement LearningMachine LearningControlsVehicle ControlsAlgorithmsResearchPublicationsIntellectual Property

Questions & Answers

Common questions about this position

What qualifications are required for this Senior Researcher position?

Candidates must be U.S. citizens with a PhD or MSc plus 3+ years of experience in AI, ML, computer science, engineering, physics or relevant areas. Required expertise includes control theory, autonomous agents, robotics, or reinforcement learning, along with experience creating and implementing control algorithms, handling high-dimensional data with ML, prototyping on hardware, and programming in Python, PyTorch, TensorFlow, sklearn, Matlab, and dSPACE.

Is this a remote position, or are there location requirements?

The role requires travel to GM’s Milford location as needed to conduct experiments and testing.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does the team environment look like at GM Research Labs?

You will work as an independent yet integral member of a research team, demonstrating strong interpersonal skills and ability to collaborate in a team environment including cross-functional global teams and research universities.

What experience gives me a competitive edge for this position?

Experience applying reinforcement learning to real-world problems and applying ML will give you a competitive edge.

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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