Careers - Research Scientist, SLAM/Tracking (PhD University Grad) | Oculus

Research Scientist, SLAM/Tracking (PhD University Grad)

Research, Computer Vision | Redmond, Washington

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 Oculus Research. 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.

Responsibilities

  • 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

Minimum Qualification

  • 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
  • Background in advanced geometric computer vision, state estimation and SLAM
  • Mathematical background and understanding of 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 mastery of modern C++ features.
  • Ability to understand, develop, and analyze systems
  • Interpersonal skills: 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 January 2018

Preferred Qualifications

  • 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 significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, SIGGRAPH, ICCV, etc.

Ready to Join?

Apply Now

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If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com or you may call us at 1+650-308-7837.

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