Applied Research Scientist, Computer Vision

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.

Facebook Reality Labs is helping more people around the world come together and connect through world-class Augmented, Mixed and Virtual Reality hardware and software. With global departments dedicated to AR/VR research, computer vision, haptics, social interaction, and more, we are committed to driving the state-of-the art forward through relentless innovation. AR and VR potential to change the world is immenseand we're just getting started.

• 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 other researchers and engineers across teams at Facebook to develop experiments, prototypes, and concepts that advance the state-of-the-art in AR/VR systems

• Currently has or is in the process of obtaining PhD in, Computer Vision, Machine Learning, Robotics or related technical field
• Experience developing real-time computer vision software in C++
• Experience with machine learning, Bayesian filtering, information theory and/or 3D geometry
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

• Interpersonal experience: cross-group and cross-culture collaboration

• Proven publication track record at conferences such as SIGGRAPH, CVPR, NIPS, ECCV, ICCV, ICML, etc.

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