Research Intern - Reinforcement Learning, Robotics
Research intern role focused on reinforcement learning for robotics, particularly dexterous manipulation. Requires current PhD/MSc studies in ML, CV, or robotics.
Salary not listed
On-siteML Engineering
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
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