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.
* 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 February 1, 2019
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
* 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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