Facebook Visiting Scientist (AI) in Pittsburgh, Pennsylvania
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.
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.
Collaborate and increase productivity on Research Scientists' projects as a contributing team member.
Currently holding a faculty or government researcher position.
Ph.D. and publications in Machine Learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields.
Experience in theoretical and empirical research and for solving problems with research.
A track record of driving scholarship in collaboration with a team.
Experience communicating research for public audiences of peers.
Academic publications in the field of machine learning.
Knowledge in a programming language.
Work authorization in the country of employment in 2018.
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.
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 firstname.lastname@example.org.