Reinforcement Learning Intern
Core
Develop and evaluate reinforcement learning (RL) algorithms for supervised autonomy in surgical robotics using offline trajectory data from Intuitive surgical robots.
Role type
Research intern (Reinforcement Learning)
Builds
RL algorithms for surgical robot control
Domain
Robotics / Surgical Automation
Deliverable
production ML models
Required skills
Deep learning frameworks (PyTorch, JAX), Reinforcement Learning algorithms (policy gradient, actor-critic), Robotics domain knowledge, Data collection from tele-operated systems, Algorithm adaptation for surgical tasks
Preferred skills
Video-based and multimodal data analysis, Real-time deployment experience, Strong communication skills
Technologies
PyTorch, JAX, dV5 surgical robot
Responsibilities
Collect tele-operated simulation and real trajectory data, Train off-the-shelf RL algorithms, Adapt RL algorithms to surgical domain, Recommend experimental setups, Deploy algorithms in simulation or on dV5 for real-time validation
