Facebook Research Scientist (AI) (University Grad) in Montreal, Canada
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 a Research Scientist to join Facebook AI Research, a research organization focused on making significant progress in AI. 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.
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.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Influence progress of relevant research communities by producing publications.
Contribute research that can be applied to Facebook product development.
Currently has or is in the process of obtaining a Ph.D. and publications in Machine Learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields.
Experience solving analytical problems using quantitative approaches.
Experience manipulating and analyzing data from different sources.
Experience in theoretical and empirical research and for answering questions with research.
Ability to communicate research.
Knowledge in some programming language.
Experience driving original scholarship in collaboration with a team.
First-author publications at peer-reviewed AI conferences (e.g. NIPS, CVPR, ICML, ICLR, ICCV, and ACL).
Experience in developing and debugging in C/C++, Python, C# and/or Java.