Senior Researcher - AI and Vehicle Controls, Reinforcement Learning
Description
Job Description Summary
General Motors Research Labs is an applied research center focusing on creating and evaluating innovations for future vehicles. Our researchers conduct independent technical work, while initiating and leading collaborative projects with colleagues at academia and industry globally.
As a member of General Motors Research Labs, the Vehicle Controls group offers exciting opportunities for motivated researchers with outstanding capabilities to conduct research in applied AI and Controls for developing cutting edge, world changing technologies for GM’s future vehicles. The focus of this position will be to maximize contributions to the whole organization.
The Role:
In this Senior Researcher position , you will 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 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
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.
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 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.
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