Facebook Computer Vision Engineer in Menlo Park, California
The Oculus team at Facebook builds the VR hardware and platform to let you experience anything, anywhere, with anyone. Additionally, Facebook has teams dedicated to building social experiences in VR that make it easier to spend time with your friends, wherever they are. Virtual reality’s potential to connect the world is immense—and we’re just getting started. Oculus Research is driving the state of the art forward with breakthrough work in computer vision, advanced optics, eye tracking, mixed reality, and new ways to map the human body.
Oculus is seeking a talented Computer Vision Engineer to solve new and emerging vision problems in VR. The Oculus Vision team applies a range of software, computer vision and machine learning techniques to build products that enable new ways for people to connect and share experiences. Our team is addressing a variety of technical challenges in the areas of advanced optics, real-time image processing, depth sensing, SLAM, sensor fusion, 3D reconstruction and human interaction in the form of hand/face/eye tracking. We're looking for candidates who share a passion for exploring and solving complex, unsolved problems at the intersection of computer vision and VR. Open positions are based in Menlo Park, CA.
Develop novel, accurate computer vision algorithms and advanced systems with a focus on real-time object tracking, SLAM, sensor fusion, visual odometry, camera calibration and 3D reconstruction
Research, develop and prototype advanced hardware and software technologies related to tracking, 3D reconstruction, photometric stereo, object detection and appearance modeling
Apply machine learning to computer vision problems
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
MS or PhD degree in Computer Science, Computer Vision, Machine Learning, or related technical field
5+ years experience in developing and designing Computer Vision technologies and systems
3+ years of experience software engineering in C++
Knowledge in Computer Vision
Knowledge in machine learning, Bayesian filtering, information theory, and 3D geometry
3+ years' experience with real-time object tracking, SLAM, sensor fusion, real-time image processing, etc.
Experience training deep convolutional and/or recurrent neural networks
Experience with CPU/GPU optimization
Proven publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ISMAR, ICML, 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 firstname.lastname@example.org or you may call us at +1 650-308-7837.