Research Scientist Intern - Humanoid Control & Dexterous Manipulation

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. ## Minimum 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 ## Preferred Qualifications - 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