Visiting Scientist (AI)

(Paris, France)

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 is seeking Visiting Scientists to join our Facebook Artificial Intelligence Research team. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology to make computers more intelligent. Term length would be considered on a case-by-case basis and is often fulfilled during a faculty sabbatical term.

Responsibilities

  • Perform research to advance the science and technology of intelligent machines.
  • Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).
  • Devise better data-driven models of human behavior.
  • Contribute research that can be applied to Facebook product development.
  • Influence progress of relevant research communities by producing publications.
  • Contribute research that can be applied to Facebook product development.
  • Collaborate and increase productivity on Research Scientists' projects as a contributing team member.
Minimum Qualifications
  • Currently holding a faculty or government researcher position with intention of returning after conclusion of contract.
  • Ph.D. and publications in Machine Learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields.
  • Has defined a short-term project to work on within FAIR for the duration of the contract.
  • Experience in theoretical and empirical research and for solving problems with research.
  • A track record of driving original scholarship in collaboration with a team.
  • Ability to communicate research both in writing and for public audiences of peers.
  • Knowledge in a programming language
  • Academic publications in the field of machine learning.
  • Ability to obtain and maintain work authorization in the country of employment in 2018.
Preferred Qualifications
  • First-author publications at peer-reviewed AI conferences (e.g. NIPS, CVPR, ICML, ICLR, ICCV, and ACL).
  • Experience mentoring junior scientists within an academic, industry, or government lab.
  • Previous full-time research experience in an AI research organization.
  • Experience in developing and debugging in C/C++, Python, C# and/or Java.
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