Senior Researcher - AI and Vehicle Controls, Reinforcement Learning

General Motors

3.5

(61)

Warren, MI

Why you should apply for a job to General Motors:

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  • 85% say the CEO supports gender diversity
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  • Our Work Appropriately philosophy gives employees the flexibility to work where they can have the greatest impact to achieve their goals.
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  • #JR-202522286

    Position summary

    search reports, external publications, and records of invention to document new ideas and research results in your area of research.

    What You Will Do

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

    Broader research areas include:

    • 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

    Your Skills & Abilities (Required Qualifications)

    • The position is subject to export control restrictions and requires the successful candidate to be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee or refugee).

    • 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: Control theory, autonomous agents, Robotics, and reinforcement learning

    • Must have 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

    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.

    • Expertise in vehicle dynamics

    GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

    This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

    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 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 to feel they belong to one General Motors team.

    Total Rewards | Benefits Overview

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    Non-Discrimination and Equal Employment Opportunities (U.S.)

    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 providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

    All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

    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.

    Accommodations

    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 [email protected] or call us at 1-800-865-7580. 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.

    Why you should apply for a job to General Motors:

  • 52% say women are treated fairly and equally to men
  • 85% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Our Work Appropriately philosophy gives employees the flexibility to work where they can have the greatest impact to achieve their goals.
  • Our future is all electric and we aspire to zero tailpipe emissions by 2035.
  • Paid Family Leave provides employees up to 12 weeks of paid time off to support a new child or care for relatives with a health condition.