Research Scientist Intern, Robotics Control Policy and Mechanics jobs in United States
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Meta · 3 hours ago

Research Scientist Intern, Robotics Control Policy and Mechanics

Meta is a technology company that builds tools for connection and community. They are seeking a Research Scientist Intern to work on developing novel robotic control policies for dexterous manipulation, combining data-driven approaches with mechanics, while collaborating with leading experts in the field.

Computer Software
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Comp. & Benefits

Responsibilities

Design and implement novel robotic control policies, leveraging both modern machine learning and physics-based modeling
Conduct research on dexterous manipulation, specifically involving complex object interaction, uncertainty, and deformable bodies
Develop and evaluate algorithms in both high-fidelity simulation and real-world robotic setups
Collaborate with team members to integrate research insights into larger robotics platforms
Prepare and present research findings for internal review and potential publication

Qualification

PhD in RoboticsMachine Learning Control PoliciesRobotics TheoryProgramming PythonProgramming C++Robotics Simulation EnvironmentsSolid Mechanics ModelingDeep Learning FrameworksResearch CommunicationTeam Collaboration

Required

Currently has or is in the process of obtaining a PhD in the field of Robotics, Mechanical Engineering, Computer Science, or a related technical field
Demonstrated experience with modern machine learning-based control policies, such as Reinforcement Learning or Imitation Learning
Understanding of classical robotics theory, including kinematics and rigid body dynamics
Experience with solid mechanics and modeling for deformable bodies
Proficiency in programming languages commonly used in robotics and machine learning (e.g., Python, C++)
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Intent to return to degree program after the completion of the internship/co-op

Preferred

Experience with Robotics simulation environments (e.g., MuJoCo, Isaac Gym, PyBullet)
Experience with open source solid mechanics simulation tools (e.g. Fenics, Deal-ii, Firedrake)
Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow)
Experience with robotic hardware and real-world experimentation
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

Company

Meta's mission is to build the future of human connection and the technology that makes it possible.

Funding

Current Stage
Late Stage

Leadership Team

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Kathryn Glickman
Director, CEO Communications
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Christine Lu
CTO Business Engineering NA
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