Reality Labs Research is seeking a Robotics Research Scientist to advance state-of-the-art robotic architectures, dynamic in-hand manipulation, generalizable dexterous and functional manipulation, and tactile and multimodal sensing and perception.
Requirements
- 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)
- 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)
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
Other
- 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
- 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 working and communicating cross-functionally in a team environment
