Humanoid Robot Learning Intern, Isaac Loco-Manipulation - 2027
Core
Develop novel robot learning methods and advance foundation models for humanoid and mobile robot dexterous manipulation and loco-manipulation tasks.
Role type
Applied research intern (robotics/AI)
Builds
Robot learning technologies, foundation models (GR00T, Cosmos), and validated robot capabilities for autonomy.
Domain
Robotics, AI, Simulation, Physical Systems
Deliverable
production ML models | research
Required skills
Robotics research, Deep learning, Python, C++, Physics simulation, World modeling, Robot learning (imitation/RL)
Preferred skills
Publication record in top robotics/ML venues, Learning from human video/demonstration, Dexterous bimanual manipulation, Whole-body control
Technologies
PyTorch, JAX, TensorFlow, Isaac Sim, Isaac Lab, MuJoCo, GR00T, Cosmos, Isaac Loco-Manipulation
Responsibilities
Develop novel robot learning methods for whole-body dexterous tasks; Co-develop and advance robotics foundation models; Lead an applied research project from conception to open-source contribution.
Seniority
Intern
