Research Scientist, Reality Labs Research Robotics (PhD)

The Sensor and Systems Research group at Reality Labs Research is seeking a Robotics Research Scientist to drive foundational and applied research aimed at advancing state-of-the-art robotic architectures, dynamic in-hand manipulation, generalizable dexterous and functional manipulation, as well as tactile and multimodal sensing and perception. In this position, you will collaborate closely with a multidisciplinary team of researchers and engineers to push the boundaries of robotics science and technology.

Research Scientist, Reality Labs Research Robotics (PhD) Responsibilities:

• Explore forward-looking ways and novel robotic architectures to advance dynamic in-hand manipulation, generalizable dexterous and functional manipulation (rigid to deformable objects in-hand to against the environment)
• Research novel sensors, robotic systems architectures, planning and control algorithms that involve tactile and multimodal vision and perception, dexterous manipulation and collision avoidance
• Develop machine learning models and end-to-end applications for robotics, dexterous manipulation, and contextual understanding
• Invent novel paradigms for robotics sensing and intelligence, leveraging a variety of sensing and machine perception modalities (images, video, audio, tactile, etc.)
• Develop efficient models deployable to robotic systems, integrate research into full system-level robotic prototypes

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• Currently has or is in the process of obtaining a PhD degree in Robotics, Artificial Intelligence, Computer Vision, Physical AI, Machine Learning, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
• Research experience in at least one of the following research areas: robotics, dexterous manipulation, control theory, optimization algorithms, representation learning, self-supervised learning, multimodal learning, vision-language-action (VLA) models, reinforcement learning, imitation learning, robotics policy development, computer vision, egocentric perception, embodied AI and/or LLMs
• Experience in C/C++ and Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
• Must obtain work authorization in 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)
• Experience with research and development of humanoid robots
• Experience with embedded systems and communication protocols
• Experience with robotics frameworks such as Robot Operation System (ROS), along with experience working with robotic simulations and real-world robots
• Experience bringing-up and debugging prototype/scientific software-hardware systems (e.g., robotics platforms, multi-camera sensing/tracking solutions, wearable sensing systems)
• Experience working and communicating cross-functionally in a team environment