Research Engineer - Computer Vision and Robotics

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.

Research Engineer - Computer Vision and Robotics Responsibilities:

• 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
  
  

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
• 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 tensorflow
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  
  

Preferred Qualifications:

• 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
  
  

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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

$56.25/hour to $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.