Facebook Computer Vision Engineer in Pittsburgh, Pennsylvania
Computer Vision is a key ingredient in developing great virtual reality technology. We are looking for an exceptional software engineer with a proven track record in high performance computer vision (e.g., multi-view camera calibration, multi-view stereo, 3D reconstruction). As a Computer Vision Engineer at Oculus Research, you’ll work closely with leading researchers to solve challenges at the forefront of computer vision that transform virtual reality from dream to reality. We're looking to usher in the next era of human-computer interaction by solving hard and exciting computer vision problems.
Developing creative computer vision and tracking software for a variety of Oculus products
Developing cutting edge 3D reconstruction system
Formulating and solving numerical optimization problems in computer vision
Prototyping hardware and software solutions for characterizing, modeling and calibration of camera lenses and image sensors
Developing robust software for integrating multiple image sensors and embedded systems
Participating in cutting edge research in computer vision
Contributing research that can be applied to Oculus product development
MS or PhD degree in computer science, computer vision, or related technical field
3+ years experience designing and developing computer vision algorithms in C++
3+ years of experience with prototyping algorithms in MATLAB or Python
Linear algebra, 3D geometry and numerical optimization experience
3+ years experience with multi-view camera geometry, geometric and photo-metric camera calibration, 3D reconstruction or photogrammetry
Experience with formulating and solving computer vision optimization problems
Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g., GitHub)
Proven publication track record at conferences such as CVPR, ECCV, ICCV, 3DV, 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.