General Motors
General Motors
General Motors is a global automotive and manufacturing company working across vehicle engineering, production, transportation, and information technology. Founded in 1908, GM develops technologies aimed at advancing mobility while pursuing its vision of zero crashes, zero emissions, and zero congestion. Its international operations bring together large, multidisciplinary teams focused on innovation, sustainable transportation, and the future of the automotive industry.

Entry-Level AI and Machine Learning Research Intern

Research machine learning and robotics for intelligent manufacturing automation as a summer intern at General Motors. Develop learning-based methods for robotic manipulation, assembly, planning, and control.

Description

  • Develop and apply advanced machine learning methods for robotic systems
  • Use reinforcement learning, imitation learning, learning from demonstration, and deep learning for perception, planning, and control
  • Apply learning-based methods to grasping, dexterous and mobile manipulation, coordinated motion, contact-rich assembly, and force-sensitive tasks
  • Help advance automation and flexible production systems
  • Support intelligent robotics in manufacturing
  • Contribute to GM’s technical work through presentations, intellectual property, documentation, and publications

Requirements

  • Be pursuing a master’s or PhD in machine learning, physical robotics, computer science, or a closely related field at a leading university
  • Expect to graduate between August 2026 and June 2027
  • Be available to work 40 hours per week
  • Have a strong academic and applied background in machine learning
  • Have trained policies for grasping, manipulation, contact-rich assembly, or other robotic skills
  • Have strong programming and systems development skills in Python, C++, and PyTorch or TensorFlow
  • Meet the U.S. Person requirement as a U.S. citizen, permanent resident, asylee, or refugee
  • Be able to work without current or future GM immigration sponsorship, including H-1B, OPT, STEM OPT, CPT, TN, J-1, or other immigration support
  • Be eligible to work on a position subject to export control restrictions
  • Preferred: experience with dexterous and multi-contact manipulation
  • Preferred: experience with mobile manipulation in dynamic or unstructured environments
  • Preferred: experience with learning-based control for contact-rich assembly
  • Preferred: experience with sim-to-real transfer and data-efficient learning
  • Preferred: experience with foundation-model robotics, vision-language-action models, transformer-based control architectures, world models, and generative AI for robot planning and execution
  • Preferred: experience in industrial or automotive manufacturing
  • Preferred: publications in leading conferences such as ICRA, RSS, CoRL, or NeurIPS

Benefits

  • Relocation benefits administration support may be provided if selected
  • Access to benefits and Total Rewards resources
  • Reasonable accommodations are available for applicants with disabilities

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