Machine Learning Intern, Humanoid Robotics - 2026
Core
Developing foundation models and algorithms for humanoid robot locomotion and manipulation, including sim-to-real transfer.
Role type
Machine Learning Intern (Humanoid Robotics)
Builds
Isaac Loco-Manipulation team projects, GR00T and Cosmos foundation models
Domain
Robotics, Humanoid Loco-Manipulation, Deep Learning
Deliverable
production ML models
Required skills
Deep learning frameworks (PyTorch, JAX, TensorFlow), Physics simulation tools (Isaac Sim/Lab, MuJoCo), Foundation models for robotics, 3D perception, Sim-to-real transfer, Robot learning (imitation, reinforcement learning), C++, Python
Preferred skills
Humanoid robot testing experience, Dexterous bimanual manipulation, Whole-body control
Technologies
Isaac Lab, Newton, Isaac Sim, MuJoCo
Responsibilities
Collaborate on humanoid robotics loco-manipulation projects, Support development of GR00T and Cosmos models, Develop reference workflows for dexterous tasks, Design algorithms for robot locomotion and manipulation, Drive internship projects from design to on-robot validation
Seniority
Intern
