Facebook Research Scientist, Reconstruction (PhD University Grad) in London, United Kingdom

Summary:

Facebook Reality Labs (FRL) London is looking for a Research Scientist with a passion for real-time computer vision and VR/AR to help define and build the next generation of augmented and virtual reality systems. Within the Facebook Reality Labs Surreal Vision team, this role focuses on formulating a new generation of end-to-end real-time 3D scene understanding systems working across novel mobile sensor design, sensor fusion, state estimation, computer vision, large-scale reconstruction and localization, as well as large-scale online inference and optimization.

Required Skills:

  1. Plan and execute cutting-edge development to advance the state of the art in machine perception, mapping, reconstruction and localization, as well as 3D scene understanding across optical/inertial/acoustic sensing systems

  2. Collaborate with other researchers and engineers across both machine and human perception teams at Facebook to develop experiments, prototypes, and concepts that advance the state-of-the-art in AR/VR systems

  3. 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:

  1. Currently has or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in the field of computer science, computer vision, robotics or similar

  2. 3 or more years C++ experience, with knowledge of modern C++ features

  3. OpenGL and/or Direct3D graphics programming experience

  4. Deep problem solving and optimization ability

  5. Must be available to start employment on or after November 1, 2018

  6. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

  7. Interpersonal experience: cross-group and cross-culture collaboration

Preferred Qualifications:

  1. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

  2. 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 or SIGGRAPH

  3. GPU programming experience - CUDA or OpenCL

Industry: Internet