Machine Learning for Robotics
Core
Developing and deploying advanced machine learning methods for intelligent robotic systems in manufacturing, focusing on grasping, manipulation, and assembly.
Role type
Staff Researcher, Machine Learning for Robotics
Builds
Scalable, production-ready learning-based robotic capabilities for manufacturing environments
Domain
Automotive manufacturing, Robotics, Machine Learning
Deliverable
production ML models
Required skills
Reinforcement learning, Imitation learning, Deep learning for perception/planning/control, Python, C++, PyTorch, TensorFlow, Project leadership
Preferred skills
Dexterous and multi-contact manipulation, Mobile manipulation in dynamic environments, Learning-based control for contact-rich assembly, Simulation-to-real transfer, Foundation-model-enabled robotics, Publication record in top conferences
Technologies
PyTorch, TensorFlow, C++, Python
Responsibilities
Lead development of advanced ML techniques for robotic systems, Apply learning-based approaches to grasping and mobile manipulation, Design and validate ML solutions on physical robotic platforms, Define technical direction and research roadmaps, Mentor junior researchers and engineers, Contribute to technical leadership via IP and publications
Seniority
Staff, hands-on IC with project leadership and subject matter expertise
