Facebook Applied Research Scientist, Computer Vision in Menlo Park, 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:

We are seeking world-class computer vision experts to join our teams in developing next generation products and platforms doing research and engineering at scale. We're applying cutting-edge computer vision algorithms to a wide range of media understanding challenges at Facebook.

Required Skills:

  1. Develop novel and accurate computer vision algorithms and systems, leveraging deep learning and machine learning on big data resources.

  2. Analyze and improve efficiency, scalability, and stability of various deployed systems.

  3. Collaborate with team members from the level of prototyping to the level of production.

Minimum Qualifications:

  1. 5+ years of experience in building, leading and specializing in large-scale commercial computer vision projects from the level of researching a prototype to the level of production. 

  2. C/C++ rapid programming on Linux OS.

  3. Experienced 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)

  4. PhD/MS with relevant experience in Computer Science with published projects in the fields of machine learning, deep learning and/or computer vision.

Preferred Qualifications:

  1. Experience with developing on mobile/embedded platforms, e.g. Android NDK, armv7 NEON

Industry: Internet

Equal Opportunity: As part of our dedication to the diversity of our workforce, Facebook is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com or you may call us at 1+650-308-7837.