2027 Summer Intern - Research and Development - Machine Learning for Automation
Core
Develop and deploy advanced machine learning methods for intelligent robotic systems in manufacturing, enabling robots to learn, adapt, and perform complex manipulation and assembly tasks.
Role type
Summer Research Intern, Machine Learning for Robotics
Builds
Intelligent robotic systems for flexible production environments
Domain
Automotive manufacturing + Physical Robotics
Deliverable
production ML models
Required skills
Reinforcement learning, Imitation learning, Deep learning for perception/planning/control, Python, C++, PyTorch, TensorFlow, Robotic manipulation, Simulation-to-real transfer
Preferred skills
Dexterous manipulation, Mobile manipulation, Learning-based control for contact-rich assembly, Foundation models for robotics, Industrial/automotive manufacturing experience, Conference publications (ICRA, RSS, CoRL, NeurIPS)
Technologies
PyTorch, TensorFlow, C++, Python
Responsibilities
Develop RL and imitation learning algorithms for robotic grasping and manipulation; Apply learning-based approaches to mobile manipulation and contact-rich assembly; Contribute to technical leadership via presentations, IP, and documentation.
Seniority
Intern
