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Humanoid Robot Learning Intern, Isaac Loco-Manipulation - 2027

China, Shanghai💼 Internship🗓 2026-09-15 → 2026-09-25

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

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