Research Scientist Intern, Robotic Control Policy (PhD)

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.

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.

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
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