Senior Researcher - AI and Vehicle Controls, Reinforcement Learning
Role details
Job location
Tech stack
Job description
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
Requirements
- 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}.
