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Facebook Applied Research Scientist, Computer Vision in Boston, Massachusetts


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.


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 commercial computer vision projects from the level of researching a prototype to the level of production.

  2. Experience in C/C++ and Python rapid programming on Linux OS.

  3. Experienced with training neural networks for computer vision tasks such as classification, semantic segmentation, object detection, etc.

  4. Experience with one or more learning frameworks such as PyTorch, TensorFlow, Caffe2.

  5. Software engineering experience with knowledge of the software lifecycle that includes testing, version control and shipping code.

  6. PhD/MS with experience in Computer Vision and publications in conferences in the fields of machine learning, deep learning and/or computer vision.

Preferred Qualifications:

  1. Candidates with experience developing novel algorithms in the following will be given extra consideration:

  2. Deep adversarial networks, image and video forensics.

  3. Cross domain adaptation for rapid model transfer across domains.

  4. Transfer learning including zero shot learning, attribute learning, and knowledge graphs.

  5. Deep graphical modeling.

  6. Explainability in computer vision and AI such as image and video captioning, and causal reasoning.

  7. Experienced with the development of enterprise level AI, machine learning and deep learning platform involving big data management and GPU compute.

Industry: Internet

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. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.