Research Scientist Intern, Humanoid Control & Dexterous Manipulation (PhD)

Meta Reality Labs Research is a team of researchers and engineers pushing the frontier of AI, robotics, and AR/VR technology. Within RL Research, our team is building the next generation of full body loco-manipulation and dexterous hands control policies. We are seeking a Research Scientist Intern to help take novel ideas all the way from inception to real hardware.

Interns in this role may work across the full robotics stack: data collection and processing, algorithm development and model training, and eventually running the algorithm on real robots. It involves working with research scientists and engineers together as a team, fast prototyping and rapid iterations of ideas, and debugging algorithms on real hardware.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Responsibilities

Independently design, develop, and analyze novel research ideas related to robotic simulation and control, with a focus on loco-manipulation and dexterous manipulation.
Deploy, test, and debug algorithms on real robots for sim-to-real transfer.
Collaborate with other researchers and engineers across multiple disciplines.
Communication of research agenda, progress and results to a diverse audience regularly.
Publish research results at top conferences and release code that contributes to the field of robotics.

Qualifications

Currently has or is in the process of obtaining a Ph.D. degree in robotics, computer graphics, computer vision, machine learning, or a related STEM field
Experience with physics-based character animation, reinforcement learning and imitation learning, human motion synthesis and retargeting, forward and inverse kinematics and dynamics, numerical optimization
Interpersonal experience: cross-group and cross-culture collaboration
1+ years of experience with any of Python/pytorch or C/C++, and developing interactive graphics applications
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
2+ years experience with physical-base character animation and simulation and imitation learning
Proven track record of achieving results as demonstrated in accepted papers at top conference and journal venues such as RSS, ICRA, IROS, CoRL, SIGGRAPH/Asia/TOG, CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML etc
Experience in contributing to open-source projects
Experience in sim-to-real transfer and deploying simulated policies onto real robot hardware
Experience with perception algorithms such as SLAM and pose estimation
Experience working with tactile sensors