General Motors
Entry-Level – AI and Machine Learning for Automation Researcher
Warren, Michigan, United States of America · Hybrid · Entry level · Full-time · Posted Oct 12, 2026
- Education
- Pursuing a master’s or PhD in Machine Learning, Physical Robotics, Computer Science, or a closely related field.
- Visa sponsorship
- GM does not provide immigration-related sponsorship for this role. The successful candidate must be a U.S. Person (U.S. citizen, U.S. permanent resident, asylee, or refugee).
About the job
Contribute to machine-learning methods and robotic applications that advance intelligent manufacturing automation and flexible production systems.
What you'll do
- Develop and apply learning methods for robotic systems, including reinforcement, imitation, and deep learning.
- Apply learning-based approaches to robotic tasks such as grasping, manipulation, mobile coordination, and contact-rich assembly.
- Contribute to technical presentations, intellectual property, documentation, and publications.
What they ask for
- Pursuing a master’s or PhD in Machine Learning, Physical Robotics, Computer Science, or a closely related field.
- Graduating between August 2026 and June 2027; able to work full-time, 40 hours per week.
- Strong academic and applied machine-learning background, with experience training policies for robotic skills.
- Strong programming and system-development skills; experience with Python, C++, and PyTorch/TensorFlow.
Nice to have
- Experience with dexterous or mobile manipulation, contact-rich assembly, simulation-to-real transfer, data-efficient learning, or foundation-model-enabled robotics.
- Industrial or automotive manufacturing experience; publications in leading conferences such as ICRA, RSS, CoRL, or NeurIPS.
Tools
Python, C++, PyTorch, TensorFlow
AI focus
Develop and apply machine-learning methods for robotic perception, planning, and control, including reinforcement and imitation learning; preferred work includes foundation-model-enabled robotics and generative AI methods for robot planning and execution.
Model-written summary · the original posting is authoritative