Meta Research Scientist Robotic Control Policy Internship-PAID

Description

The Meta Research Scientist Robotic Control Policy Internship is available to students pursuing a PhD in computer science, artificial intelligence, robotics, or relevant technical fields. To be considered for this role, you should understand state of the art in robotic manipulation control policies and have experience with RoS, Python, PyTorch or JAX, or other related languages. Preference may be given to applicants who have familiarity with modeling and analysis used in robotics including kinematics, dynamics, motion planning, perception, task planning, and control theory as well as experience with modern control policies like reinforcement learning, imitation learning, and large behavioral models. As an intern, you will work at the intersection of robotic control, machine learning, and human-robot interaction, and you will have the opportunity to work with world-leading collaborators and mentors in these fields. Your primary focus will be on developing data-driven/ML-powered robotic control policies for dextrous manipulation and teleoperation applications. This internship is offered in Redmond, WA.