Facebook Research Scientist, Responsible AI Fairness (PhD) in Menlo Park, California
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. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, artificial intelligence law and policy, and artificial intelligence ethics particularly including areas such as fairness and bias in artificial intelligence and data. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology and how to apply it safely and fairly in real world settings. The ideal candidate will also be a thought-leader in the AI ethics, law and policy and engage with teams around the company to help develop their own technologies, practices and processes in the space.
Perform research to advance the science, technology, and understanding of ethical intelligent machines
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
Engage with product, legal and policy teams to help them develop informed approaches to AI ethics
Currently has or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in the field of Machine Learning or similar
Experience solving analytical problems using quantitative approaches
Must be available to start employment on or after January 4, 2021
Experience manipulating and analyzing data from different sources
Experience in theoretical and empirical research and for answering questions with research
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
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 email@example.com.
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