Facebook Postdoctoral Research Scientist, SLAM/Tracking (PhD University Grad) in Redmond, Washington
We are seeking an exceptional Postdoctoral Research Scientist 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 Facebook Reality Labs(FRL). 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.
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
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
Experience in geometric computer vision, state estimation and SLAM
Mathematical experience and knowledge in 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 modern C++ features
Experience understanding, developing, and analyzing systems
Interpersonal experience: 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 June 1, 2018
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 results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, SIGGRAPH, ICCV, etc.
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. If you need assistance or an accommodation due to a disability, you may contact us at email@example.com or you may call us at +1 650-308-7837.