Research Scientist, Generalist Embodied Agent Research - PhD New College Grad 2026
Core
Building 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
Research Scientist, Generalist Embodied Agent Research
Builds
General-purpose embodied agents, humanoid robot foundation models, and large-scale AI training/inference systems.
Domain
Robotics, Embodied AI, Multimodal Foundation Models
Deliverable
production ML models
Required skills
Rapid prototyping, model training frameworks (PyTorch, Jax, Tensorflow), Python or C++, LLM training, multimodal foundation models, large generative models, foundation and diffusion models, reinforcement learning, agent learning, robot kinematics, dynamics, and sensors, control methods (PID, MPC, whole-body control), physics simulation frameworks (MuJoCo, Isaac Sim)
Preferred skills
CUDA, ROS, robot hardware design and building
Technologies
PyTorch, Jax, Tensorflow, Python, C++, CUDA, ROS, MuJoCo, Isaac Sim
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 New College Grad 2026
