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 Visiting Researcher to join Facebook AI Research (FAIR), 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 topics in machine learning such as deep learning, graphical models, reinforcement learning, and data representation. We are also seeking experts in the applications of AI in natural language processing, as well as experts in linguistics, sociology and ethics for AI.This position would be a fixed term for PhD students who will work in collaboration with Facebook. Applicants are expected to be pursuing a PhD in one of the areas listed above.

Provide sociology expertise in low resource languages
Analyze the types of data are necessary to create machine translation models, and how does that interact with people’s ethical right to data and data privacy
Analyze how machine translation models have historically been developed and used
Analyze how development of machine translation and NLP models affects people and populations




Minimum Qualification
Currently has, or is in the process of obtaining a PhD degree in Sociology or Ethics Knowledge in social theory, economic sociology
Experience conducting research and research papers
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualification
Experience in working with machine learning models, analysis of machine learning output
Experience in working with languages
Publications in top tier journals or conferences

Educational level:

Ph. D.

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