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Meta · 3 weeks ago

Research Scientist Intern, Robotic Control Policy (PhD)

Burlingame, CA

Internship

Onsite

Intern

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

Meta is a technology company focused on building immersive experiences like augmented and virtual reality. As a Research Scientist Intern, you will conduct research on robotic control policies and collaborate with cross-functional teams to develop machine learning frameworks for robotic dextrous manipulation and teleoperation applications.

Computer Software

Comp. & Benefits

Responsibilities

Conduct collaborative research on developing control policies for a range of robotics platforms

Implement frameworks to train state-of-the-art machine learning control policies such as Large Behavioral Models, Imitation Learning, and Reinforcement Learning

Develop robotic data collection pipelines for robotic dextrous manipulation, train models, and benchmark different algorithms

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

Qualification

Robotic manipulationMachine learningReinforcement learningPythonRoSImitation learningControl theoryTeam collaborationCommunication skills

Required

Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, 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 the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred

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

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

Experience working with robot manipulation

Experience learning policies from human demonstrations with wearable devices

Experience working and communicating cross functionally in a team environment

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

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