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Facebook Research Intern, Applied Research - Computer Vision (PhD) in New York, New York

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:

Facebook AI is seeking Research Interns to join our Computer vision teams to work on innovative problems that would power the next generation product and platforms at scale. The problems range from various research domains and require applying cutting-edge algorithms to help us understand our content and users better. The duration of this internship is 16 weeks with Summer, Fall, and Winter start dates. We have openings in our Menlo Park, New York, and Seattle offices. Internships will be awarded on a rolling basis and candidates are encouraged to apply early. To learn more about our research visit https://ai.facebook.com/.

Required Skills:

  1. Develop novel state-of-the-art vision algorithms and corresponding systems, leveraging various deep learning techniques

  2. Contribute to research that can eventually be applied to Facebook product and run on billions of media items every day

  3. Based on the project, help analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms

  4. Collaborate with team members, all the way from prototyping in a notebook to deploying at scale

Minimum Qualifications:

  1. Currently has, or is in the process of obtaining a PhD degree

  2. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

  3. Experience in Python and C/C++

  4. Research and/or work experience in machine learning, deep learning, and/or computer vision

Preferred Qualifications:

  1. Intent to return to degree-program after the completion of the internship/co-op

  2. Prior experience with deep learning frameworks

  3. Extensive experience solving analytical problems using quantitative approaches

  4. Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources

  5. Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as CVPR, ECCV, ICCV, SIGGRAPH or similar

  6. Ability to communicate complex research in a clear, precise, and actionable manner

  7. A strong interest in theoretical and empirical research and for answering hard questions with research

  8. Interpersonal experience: cross-group and cross-culture collaboration

  9. Ability to stay in touch with the literature of a particular domain and has the ability to reproduce results if needed

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.

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