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Meta · 2 months ago

Research Scientist Intern, Robotic Manipulation Modeling and Control (PhD)

Redmond, WA

Internship

Onsite

Intern

$7,650/mo - $12,134/mo

Meta is a technology company focused on helping people connect and build communities through innovative experiences. As a Research Scientist Intern, you will work on robotic control, machine learning, and human-robot interaction, focusing on modeling and control policies for dexterous robotic manipulation.

Computer Software

Comp. & Benefits

Responsibilities

Conduct collaborative research on developing control policies for a robotic hand system

Develop accurate models of robotic systems to enable control policy development and evaluation in simulation studies

Implement state-of-the-art robotic control policies to enable dexterous manipulation capabilities, and develop pipelines to benchmark and test the performance of these control policies

Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results

Qualification

RoboticsRobotic manipulation controlMachine learningPythonRoSPyTorchReinforcement learningTeam collaborationCommunication skills

Required

Currently has or is in the process of obtaining a Ph.D. degree in Robotics or relevant technical field

Understand state of the art in robotic manipulation control policies, and advancing the technological frontier in an impactful and efficient way

Experience with RoS, Python, PyTorch or JAX, or other related languages

Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as Robotics (RSS, ICRA, IROS, CoRL, T-RO, IJRR), Machine Learning (NeurIPS, ICML, ICLR, AAAI, JMLR), and Computer Vision (CVPR, ICCV, ECCV, TPAMI), or similar

Experience with modeling and analysis used in robotics including kinematics, dynamics, motion planning, perception, task planning, and control theory

Experience working with robot manipulation

Familiarity with modern control policies like reinforcement learning, imitation learning, and large behavioral models

Intent to return to degree-program after the completion of the internship/co-op

Experience working and communicating cross functionally in a team environment