Skip to content

Research Intern - Reinforcement Learning, Robotics

Sunnyvale, CAOnsite
Summary

Research intern role focused on reinforcement learning for robotics, particularly dexterous manipulation. Requires current PhD/MSc studies in ML, CV, or robotics.

About the role

Responsibilities

  • Conduct research on reinforcement learning (RL) related topics including large-scale closed-loop RL and VLA post-training with applications to robotics, with emphasis on dexterous manipulation
  • Dive into fundamental and relevant topics on RL with broader applications
  • Work closely with Research Scientists and Engineers on high quality research publications for submission to top-tier conferences

Requirements

  • Strong research background and skills on relevant topics, with ability to work both independently and collaboratively on projects
  • Current PhD (or MSc) studies in machine learning, computer vision and graphics, or robotics
  • Passion for next-generation, scalable autonomy and robotics

Nice-to-Haves

  • Interest in deploying research into autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots, and dexterous hands
Skills
Reinforcement LearningMachine LearningComputer VisionRoboticsDexterous ManipulationVLA Post-TrainingClosed-Loop RL