Job Description

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

The Facebook Reality Labs (FRL) Research Team brings together a world-class team of researchers, developers, and engineers to create the future of AR and VR, which together will become as universal and essential as smartphones and personal computers are today. The Surreal Vision group at FRL Research is seeking exceptional Research Engineers to solve the next generation of research challenges on the path to building future machine perception enabled technologies. 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.

Responsibilities

• 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
• 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
• 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 Qualification

• Currently has, or is in the process of obtaining, a PhD degree in Computer Science or related field
• Experience with real world system building and data collection, including design, coding (C++) and evaluation (C++/Python)
• Education in the following fields: Computer Vision, Robotics, State Estimation, 3D Reconstruction, Mapping & Localization, Physics based models, or a related field
• Hands-on experience implementing 3D computer vision algorithms, Sensor Fusion, SLAM, Reconstruction, Mapping, Localization and Image Processing
• Interpersonal experience: cross-group and cross-culture collaboration
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
  

Preferred Qualification

• Publication in leading workshops or conferences such as CVPR, ECCV, ICCV, SIGGRAPH, ICCP, RSS, ICRA, ISMAR, 3DV, etc.
• Experience with designing (products or open-source) software for inertial/optical/acoustic sensing devices
• Experience in real-time computer graphics or modern GPU programming (CUDA, OpenGL, OpenCL)
• Experience working in a Unix environment
  

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 accommodations-ext@fb.com.