AI Robotics Researcher Intern (Dexterous Manipulation)
Core
Research intern focusing on embodied AI and dexterous manipulation using large-scale foundation models and human data to enable robots to perform complex, contact-rich tasks.
Role type
Research Intern (AI Robotics)
Builds
Robust pipelines for converting human multi-modal data into robot motor skills and sim-to-real validation of dexterous manipulation policies.
Domain
Robotics, Embodied AI, Machine Learning
Deliverable
production ML models
Required skills
Robot learning and control, Reinforcement learning, Imitation learning, Generative models, Transformer architectures, Robotic manipulation systems, Python, PyTorch, JAX, TensorFlow, ROS/ROS2, MuJoCo, Isaac Sim, PyBullet
Preferred skills
Dexterous manipulation, Multi-finger robotic hands, Sim-to-real transfer, Contact modeling, Tactile sensing, 3D perception, Reinforcement learning in continuous control, Top-tier conference publications
Technologies
PyTorch, JAX, TensorFlow, ROS, ROS2, MuJoCo, Isaac Sim, PyBullet
Responsibilities
Develop frameworks for transferring human-object interaction skills to robots, Architect autonomous pipelines for processing visual and human glove-collected data, Implement generative architectures for synthesizing robot trajectories, Explore cross-embodiment representations for unified policy training, Research sim-to-real deployment techniques, Utilize vision-language models for semantic scene understanding
Seniority
Intern
