Research Scientist, SLAM/Tracking (PhD University Grad)

We are seeking exceptional Research Scientists with a proven track record in computer vision (tracking, SLAM, visual-inertial odometry, structure from motion and 3D reconstruction) to join the Surreal research group at Facebook Reality Labs(FRL). Join a unique team of world-class researchers, and help us solve the next generation of research challenges on the path to building future machine perception enabled technologies! The position requires a PhD in computer vision, robotics, or similar areas, and a strong background in 3D computer vision.


  • Develop novel, accurate computer vision algorithms and advanced systems for real-time visual SLAM, sensor fusion, visual odometry, camera calibration and 3D reconstruction
  • Research, develop and prototype advanced tightly integrated hardware and software technologies related to tracking, 3D reconstruction, stereo and more
  • Conceive proof-of-concept prototypes that establish overall system performance
  • Analyze and improve efficiency, scalability and stability of various deployed systems
  • Collaborate with team members from prototyping through production to advance the entire project
  • Contribute research that can be applied to Facebook and Oculus product development
  • Currently has or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in the field of computer vision, robotics or related field
  • Experience in geometric computer vision, state estimation and SLAM
  • Mathematical experience and knowledge in optimization, linear algebra, probabilistic estimation and 3D geometry
  • Experience with SLAM systems e.g. monocular, stereo, visual-inertial or RGBD
  • 5+ years C++ experience with modern C++ features
  • Experience understanding, developing, and analyzing systems
  • Interpersonal experience: cross-group and cross-culture collaboration
  • Ability to obtain work authorization in the United States in 2018
  • Must be available to start employment on or after May 2018
  • Experience working in a nix environment
  • Broad understanding of the full machine vision pipeline from sensors to high-level algorithms
  • Relevant publication history in top conferences and journals
  • Strong software engineering skills, ability to work within a complex codebase
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, SIGGRAPH, ICCV, etc.

Back to top