Research Scientist, 3D Computer Vision & State Estimation (PhD University Grad)

Facebook Reality Labs (FRL) brings together a world-class R&D team of researchers, developers, and engineers with the shared goal of developing AR and VR across the spectrum. The Surreal Vision research group at FRL is seeking exceptional Research Scientists to solve the next generation of research challenges on the path to building future machine perception enabled technologies. The aim of this role is to develop and advance computer vision algorithms and SW systems for real-time and offline SLAM, sensor fusion, structure from motion, visual odometry, sensor/display calibration, 3D reconstruction and relocalization. The successful candidate will be able to obtain and maintain work authorization in the US at the time of hire.


  • Research, develop and prototype advanced tightly integrated hardware and software technologies in the domain of tracking, 3D reconstruction, localization, SFM, calibration automation etc.
  • Analyze and improve efficiency, accuracy, scalability and stability of currently deployed systems
  • Collaborate with team members throughout the lifetime of a project, from prototyping to deployed products
  • Deliver research results that have direct impact to Facebook and Oculus products
  • 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 equivalent
  • Experience in geometric computer vision, including tracking, SLAM, visual-inertial odometry, sensor/display calibration, large-scale structure from motion or relocalization technologies
  • Knowledge with Mathematical and numerical optimization, linear algebra, probabilistic estimation and 3D geometry
  • 5+ years C++ experience and modern C++ features
  • Experience understanding, developing, and analyzing systems
  • Interpersonal experience: cross-group and cross-culture collaboration
  • Must be available to start employment on or after September 1, 2018
  • Experience with SLAM systems e.g. monocular, stereo, visual-inertial or RGBD
  • Background in optics or computational imaging
  • Experience working in a Linux environment
  • Experience in GPU programming such as CUDA
  • Broad understanding of the full machine vision pipeline from sensors to high-level algorithms
  • 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, or SIGGRAPH
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

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