Facebook Postdoctoral Researcher, Computer Vision in Menlo Park, California
Facebook's mission is to give people the power to share, and make the world more open and connected. Through our growing family of apps and services, we're building a different kind of company that helps billions of people around the world connect and share what matters most to them. 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 make the world more open and accessible. Connecting the world takes every one of us—and we're just getting started.
Facebook is seeking a Visiting Researcher to join our team. Our group is committed to developing next generation products and platforms and doing research and engineering at scale. We are applying cutting-edge computer vision algorithms to a wide range of media understanding challenges at Facebook. We are seeking individuals who are recognized experts in identified research areas such as machine learning and computer vision. Term length would be considered on a case-by-case basis.
Develop novel and accurate computer vision algorithms & systems, leveraging deep learning and machine learning on big data resources
Analyze and improve efficiency, scalability, and stability of various deployed systems.
Collaborate with team members from the level of prototyping to the level of production.
Contribute research that can be applied to Facebook product development
Graduating with a PhD in Computer Science or related field or relevant experience
Publications in the fields of machine learning, deep learning and/or computer vision.
Coding experience in C/C++, Java or other related language
Experience with training deep neural networks, prototyping in scripting languages like MATLAB, python, math performance libs (e.g. IPP, MKL), CPU optimization methods (e.g. assembly SIMD instructions)
Ability to obtain and maintain work authorization in the country of employment in 2017
- Research and software engineer experience demonstrated via an internship, work experience, coding competitions
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