Research Engineer - Computer Vision and Robotics
Listed on 2025-12-01
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Engineering
Robotics, AI Engineer, Computer Science, Artificial Intelligence
Research Engineer - Computer Vision and Robotics
This range is provided by Oculus VR. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$56.25/yr - $/yr
The Surreal Team at Meta’s Reality Lab Research is a multi-disciplinary, vertically integrated R&D group. Our expertise spans a wide range, from hardware prototyping and software/hardware co-design to comprehensive end-to-end system integration, enhancing the overall end-user experience. We specialize in an array of cutting-edge technologies in ego-centric machine perception and robotics AI including areas such as transfer learning, learning from demonstration, reinforcement learning, perception, representation learning, robot control, navigation, mobile manipulation, dexterous manipulation, vision-language models, and contextually aware AI.
The research and development work spans across data collection / generation, algorithm development and end-to-end deployment onto robot platforms and egocentric devices.
- Plan and execute engineering development to advance the state-of-the-art in machine perception and robotics tasks such as 3D reconstruction, computational imaging, image / video understanding, navigation, dexterous manipulation, whole-body controlling, long-horizon reasoning, etc
- Build data collection / generation platforms and develop algorithms based on state-of-the-art machine learning and neural network methodologies
- Invent/improve novel data-driven paradigms for robotics intelligence, including AR, VR, machine perceptions and robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc)
- Investigate paradigms that can deliver a spectrum of robotics behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence
- Define, build and benchmark new technologies needed for the next generation of AI
- 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
- 5+ years of experience with any of the following research areas: computer vision, robotics, 3D reconstruction, computational imaging, image / video understanding, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation
- 5+ years of experience with C/C++ and Python programming
- 5+ years of experience with deep learning frameworks: pytorch or tensor flow
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- Ph.D. or M.S. degree in the following fields:
Computer Science, Software Engineering, Robotics or related field - Experience with robotics frameworks like ROS, along with experience working with robotic simulations and real-world robots
- Experience with research areas such as vision language models, egocentric perception, LLMs, NLP
- Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV)
- Experience working and communicating cross functionally in a team environment
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 Whats App 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…
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