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Senior Researcher - AI and Controls, Reinforcement Learning

AT General Motors
General Motors

Senior Researcher - AI and Controls, Reinforcement Learning

Warren, MI

Description

Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week or other frequency dictated by the business.

The Role:

In this Senior Researcher role, you will lead research and/or experiments to validate research ideas in developing. Write timely and high-quality research reports, external publications, and records of invention to document new ideas and research results in your area of research.

As a part of the GM Research team, you will develop AI/ML/Controls technologies that will change the future of mobility and have the chance to collaborate with world-class universities / industry partners while publishing research outcomes internally and externally.

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What You'll Do

  • 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

Additional Description

Your Skills & Abilities (Required Qualifications)

  • 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 these areas: deep learning, autonomous agents, large-scale multiagent systems, prediction, distributed optimization, and reinforcement learning
  • Must have experience creating and implementing reinforcement learning 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.)
  • 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

What Will Give You a Competitive Edge (Preferred Qualifications)

  • Experience in applying reinforcement learning to real world problems.
  • Experience in applying ML techniques to control theory problems.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.

Total Rewards | Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Diversity Information

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire

Equal Employment Opportunity Statement (U.S.)

General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Accommodations (U.S. and Canada)

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Client-provided location(s): Warren, MI, USA
Job ID: General_Motors-JR-202424165
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • HSA With Employer Contribution
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Happy Hours
    • On-Site Cafeteria
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Performance Bonus
    • Relocation Assistance
    • Stock Purchase Program
  • Professional Development

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Woman founded/led
    • Employee Resource Groups (ERG)

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