Research Scientist Intern, Robotic Control Policy (PhD)

Meta; Redmond; On-site; AUD 79,000 - 98,000; Part time

Job summary

Reality Labs Research at Meta seeks a Research Scientist Intern to advance robotic control policies for dexterous manipulation and teleoperation, combining ML with control theory. You will work at the intersection of robotics and human-robot interaction, guided by mentors from leading labs. Internships span 12–24 weeks with flexible start dates.

Candidates should hold or pursue a Ph.D. in CS/AI/Robotics and demonstrate strong cross-functional collaboration, RL/IL experience, and a proven

Qualifications

• 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
• Experience working and communicating cross functionally in a team environment
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
• 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 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 working and communicating cross functionally in a team environment
• Intent to return to the degree program after the completion of the internship/co-op
• Availability for minimum 16 consecutive week internship

Responsibilities

• Develop data-driven/ML-powered robotic control policies for dextrous manipulation and teleoperation applications
• Collaborate with mentors and world-leading researchers across robotics, ML, and human-robot interaction

Skills

Python

PyTorch

JAX

ROS

Cross-functional collaboration

Education

Ph.D. in Computer Science, AI, Robotics

Job description

At Reality Labs Research, our goal is to explore, innovate and design novel interfaces and hardware for the next generation of virtual, augmented, and mixed reality experiences. We are driving research towards a vision of natural, seamless experiences in XR environments that are effective, enjoyable, and functionally indistinguishable from those in the real world.

As a Research Scientist 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.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 16 consecutive weeks.

• 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
• Experience working and communicating cross functionally in a team environment
• Interpersonal skills: cross-group and cross-culture collaboration
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
• 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 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 working and communicating cross functionally in a team environment
• Intent to return to the degree program after the completion of the internship/co-op
• Availability for minimum 16 consecutive week internship