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The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR.

The Surreal Vision group at FRL Research is seeking exceptional Research Scientists to research and help build the egocentric machine perception functionalities that will underpin future VR and contextual-AI-enabled AR devices. We do this by developing - and leveraging - Project Aria.

This role focuses on researching and formulating a new generation of end-to-end, real-time, egocentric methods for identifying objects the wearer interacts with and why, as well as building 3D maps of relevant objects around them. Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year.

Responsibilities

  • Plan and execute cutting-edge research and development to advance the state-of-the-art in machine perception, mapping, object tracking and localization, as well as 3D scene understanding.
  • Collaborate with other researchers and engineers across machine perception teams at Meta to develop experiments, prototypes, and concepts that advance the state-of-the-art in AR/VR systems.
  • Work with the team to help design, setup, and run practical experiments and prototype systems related to large-scale long-duration sensing and machine reasoning

Minimum qualifications

  • Currently has, or is in the process of obtaining a PhD degree in the domain of computer-vision, 3D machine perception or machine learning.
  • Hands-on experience implementing 3D computer vision algorithms as well as end-to-end training of ML models from data collection and design to evaluation.
  • Experience working within Python environments such as pytorch.
  • Knowledge and hands-on experience working with 3D and projective geometry, in addition to image-space computer vision.
  • Experience working in a Unix environment.
  • Must obtain work authorization in the 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 CVPR, ECCV/ICCV, BMVC, ICRA, IROS, or RSS.
  • Strong track-record of published research in the fields of Object Tracking / Detection / Segmentation or 3D semantic Scene Understanding / Reconstruction.
  • Strong programming experience in C++.
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Intent to return to degree-program after the completion of the internship
  • 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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.