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Senior Researcher – AI and Controls, Reinforcement Learning

  • 위치
    • Warren, Michigan
  • 일정 Full time
  • 게시됨

설명

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.

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.

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 Careers.Accommodations@GM.com으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.