PhD Research Intern, Generalist Embodied Agents Research - 2027
Core
Build humanoid robot foundation models and systems for general-purpose embodied agents that learn to explore and master complex skills across virtual and physical worlds.
Role type
PhD Research Intern, Generalist Embodied Agents Research
Builds
General-purpose embodied agents, foundation models for humanoid robots
Domain
Robotics, AI, Machine Learning, Physical Simulation
Deliverable
production ML models
Required skills
Rapid prototyping, Model training frameworks (PyTorch, Jax, Tensorflow), Large-scale ML/AI systems, Computer infrastructure, Multimodal foundation models, Robotics (RL, Imitation Learning, Control methods)
Preferred skills
C++, CUDA, Robot hardware operation, Physics simulation frameworks (Mujoco, Isaac suite)
Technologies
PyTorch, Jax, Tensorflow, Python, C++, CUDA, Mujoco, Isaac suite
Responsibilities
Design and implement novel AI algorithms and models for general-purpose humanoid robots; Develop large-scale AI training and inference methods for foundation models; Optimize and deploy AI models in physical simulation and on robot hardware; Collaborate with research and engineering teams to transfer research to products and services.
Seniority
PhD Research Intern
