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

Minimum Qualifications

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

Preferred Qualifications

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

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
US$117,000/year to US$173,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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