Facebook Computer Vision Research Engineer (PhD University Grad) in Sausalito, California

Intro:

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.

Summary:

Oculus Research is looking for world-class research engineers with interest in developing real-time computer vision systems to take human computer interaction to the next level in our research location in Redmond, WA and Menlo Park, CA. The focus of this role is on computer vision, machine learning and physically-based modeling as applied to tracking hand pose and interactions with real and virtual objects. The successful candidate must be an exceptional C/C++ software engineer with a solid understanding of applied mathematics and numerical optimization as used in computer vision, robotics, and computer graphics. They will drive cutting-edge and performance-sensitive systems that incorporate the latest innovations in deep learning and computer vision.

Required Skills:

  1. Plan and execute cutting-edge research to advance hand and body tracking

  2. Develop new advanced technologies related to tracking deformable or articulated objects, 3D reconstruction, photometric stereo, object detection, and appearance modeling

  3. Collaborate with other researchers, software and hardware engineers, and 3D artists to develop experiments and concepts that advance the entire project

  4. Mentor MS/PhD interns and collaborate with external academic groups to advance our research goals

Minimum Qualifications:

  1. Currently has or in the process of obtaining a PhD and/or postdoctoral assignment in the field of computer vision, machine learning, computer graphics, robotics or similar.

  2. 5+ years experience developing software in computer vision, robotics, machine learning or computer graphics, including low-level system development and development on various platforms.

  3. Knowledge in 3D math, with experience in applied math and numerical optimization.

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

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

  6. Must be available to start employment on or after June 1, 2018.

Preferred Qualifications:

  1. 3+ years experience with computer vision - specifically real-time tracking (e.g. of objects, hands, bodies, faces) or 3D reconstruction.

  2. 2+ years experience with convolutional neural networks and recurrent neural networks.

  3. 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, SIGGRAPH, NIPS, etc.

Industry: Internet

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 accommodations-ext@fb.com.