Robotics ML Intern for Advanced Automation

General Motors; Warren (MI); Hybrid; USD 39,000 - 58,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

General Motors seeks a Summer Intern Researcher in Machine Learning for Automation to advance learning methods for intelligent robotic systems in manufacturing. You will work on RL, imitation learning, and deep learning for perception, planning and control, applying these to grasping, manipulation, and assembly tasks.

The role emphasizes collaboration, technical leadership, and potential publication, IP development, and documentation. Hybrid work arrangement in Warren, MI is offered.

Qualifications

• Pursuing a masters or PhD in ML, physical robotics, CS or related field.
• Graduating between August 2026 and June 2027.
• Able to work full-time, 40 hours per week.
• Strong academic and applied ML background with experience in policies for grasping/manipulation/assembly.
• Proficient in Python and C++, with PyTorch/TensorFlow.

Responsibilities

• Develop and apply advanced ML methods for robotic systems in manufacturing.
• Contribute to reinforcement learning, imitation learning, and perception/planning/control.
• Present findings, contribute to IP, documentation, and publications.

Skills

Machine learning

Robotics

Reinforcement learning

Imitation learning

Python

C++

PyTorch

TensorFlow

Publications

ML for automation

Education

Masters or PhD candidate

Graduating Aug 2026–Jun 2027

Tools

Strong development tools

Job description

General Motors seeks a Summer Intern Researcher in Machine Learning for Automation to advance learning methods for intelligent robotic systems in manufacturing. You will work on RL, imitation learning, and deep learning for perception, planning and control, applying these to grasping, manipulation, and assembly tasks.

The role emphasizes collaboration, technical leadership, and potential publication, IP development, and documentation. Hybrid work arrangement in Warren, MI is offered.