Facebook Research Scientist, 3D Computer Vision & State Estimation (PhD) in Redmond, Washington
Facebook Reality Labs brings together a world-class R&D team of researchers, developers, and engineers to build the future of connection within virtual and augmented reality. We're developing all the technologies needed to enable breakthrough AR glasses and VR headsets. 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 September 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)
Equal Opportunity: Facebook is proud to be an Equal 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. Facebook 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 email@example.com.