Dexterous Robotics Research Intern

Meta; Redmond; On-site; AUD 50,000 - 79,000; Full time

Job summary

Agios is a full stack research organization within Reality Labs Research, focusing on dexterous manipulation, learning-based control, and human-to-robot transfer. This internship will explore learned models that transform human demonstrations into robot behaviors, including retargeting and teleoperation.

Interns will work with mentors across hardware, simulation, controls, and policy learning, contributing to research that advances robot manipulation and real-world teleoperation capabilities

Qualifications

• Ph.D. degree in Computer Science, AI, Robotics, or related technical field.
• Strong background in learned dexterous manipulation and control.

Responsibilities

• Develop learned models that convert human demonstration data into executable robot behavior (retargeting, manipulation policies, teleoperation).
• Collaborate with hardware, simulation, controls, and policy-learning mentors.
• Publishments of significant results via grants, fellowships, patents or top-tier conferences.

Skills

Python

PyTorch

JAX

ROS

Reinforcement Learning

Imitation Learning

Control Theory

Trajectory Optimization

Education

Ph.D. in Computer Science / AI / Robotics

Tools

ROS

Job description

Agios is a full stack research organization within Reality Labs Research, focusing on dexterous manipulation, learning-based control, and human-to-robot transfer. This internship will explore learned models that transform human demonstrations into robot behaviors, including retargeting and teleoperation.

Interns will work with mentors across hardware, simulation, controls, and policy learning, contributing to research that advances robot manipulation and real-world teleoperation capabilities