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General Motors

2027 Summer Intern - Research and Development - Machine Learning for Automation

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Job Description

Students & Recent Graduates 2027 Summer Intern
  • Research and Development
  • Machine Learning for Automation 위치 Warren, Michigan (+) Show all locations
  • ) Hide all locations 직무 유형 Full time, Intern 게시됨 10 12 2026 Job Requisition
JR-202621724
설명
The Role:
General Motors is seeking a Summer Intern Researcher in Machine Learning for Automation to make meaningful contributions towards driving the development and deployment of advanced learning methods for intelligent robotic systems in manufacturing. This role requires deep technical expertise in machine learning and physical robotics combined with a desire to apply these methods to complex, real-world robotic challenges, supporting the development of next-generation automation and flexible production systems. This summer internship will provide an opportunity to make meaningful contributions as part of a leading industrial research organization toward the future of intelligent automation at GM by enabling robotic systems capable of learning, adapting, and performing complex manipulation, processing, and assembly tasks in real-world production environments—unlocking new levels of flexibility, efficiency, and capability in manufacturing.
What You'll Do:
Make meaningful contributions in the development and application of advanced machine learning techniques for robotic systems, which may include: Reinforcement learning (RL) Imitation learning and learning from demonstration Deep learning methods for perception, planning, and control Make meaningful contributions in the application of learning-based approaches to challenging robotic domains, including: Grasping and dexterous manipulation Mobile manipulation and coordinated motion Contact-rich assembly and force-sensitive operations Make meaningful contributions to GM's technical leadership as appropriate through technical presentations, intellectual property, technical documentation, and publication.
Required Qualifications:
Pursuit of an advanced degree (Masters or PhD) in one of the following areas: Machine Learning, Physical Robotics, Computer Science, or a closely related field from a leading university Strong academic and applied background in machine learning, with experience training policies for grasping, manipulation, contact-rich assembly, or other robotic skills. Strong programming and system development skills (Python, C++, PyTorch/TensorFlow) Must be a current student Able to work fulltime, 40 hours per week during the summer months
Preferred Qualifications:
Experience with: Dexterous and multi-contact manipulation Mobile manipulation in dynamic or unstructured environments Learning-based control for contact-rich assembly Simulation-to-real transfer and data-efficient learning Foundation-model-enabled robotics, including vision-language-action models, transformer-based control architectures, world models, and emerging generative AI methods for robot planning and execution Experience in industrial or automotive manufacturing environments Publication record in leading conferences (e.g., ICRA, RSS, CoRL, NeurIPS) 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). 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).
Work Arrangement:
Hybrid:
This role is categorized as hybrid. This means the successful candidate is expected to report to Warren, MI three times per week, at minimum [or other frequency dictated by the business]. GM will provide a one-time lump sum taxable stipend payment to eligible students selected for the 2027 Student Program
  • to help facilitate administration of relocation benefits, please apply using the permanent address you would move from.
Start dates for this internship role are May 24th & June 14th of 2027. 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 안내 를 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.com 으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요. 지금 신청하세요 구하다 저장됨 [Open sharing options] [Share] 관련 작업 구하다 저장됨 Warren, Michigan Entry-Level
  • AI and Machine Learning for Automation Researcher 구하다 저장됨 Mountain View, California 2027 Summer Intern
  • Research and Development
  • AI/Machine Learning 구하다 저장됨 Warren, Michigan Summer 2027 Intern
  • Research and Development
  • Smart Manufacturing Systems

Benefits

  • Bonuses/Stipends
  • Dental Insurance