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Research Scientist Leader

Location: London
Company: Facebook
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Intro:
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.
Summary:
At Facebook AI, we work on advancing the state-of-the-art in AI to bring the world closer together. Protecting people from harmful content is an integral part of this mission. Every month, over 3 billion people across the world use Facebook's suite of products to stay connected to the people and things they care about. To keep them safe on our platforms, we analyze millions of unique pieces of content shared every day in more than one hundred languages. We develop ground-breaking AI technologies that power these large scale systems to detect problems such as hate speech, misinformation, suicide and self-harm, election integrity, child safety, and many more.Advances in AI are key to our mission, spanning some of the most pressing research challenges of our generation across the areas of natural language processing, computer vision, information retrieval, multimodal understanding, manipulated media, reinforcement learning, relational learning, behavioral modeling, databases, and graph neural networks. There is tremendous opportunity to create the algorithms, models and infrastructure for large scale content analysis to keep people safe on social media platforms.
Required Skills:
- Build long-term vision and strategy for the future of AI Integrity technologies for reducing harm and problems on social media platforms.
- Build a plan for applied research and engineering in the necessary technologies including large scale content understanding, information retrieval, manipulated media, reinforcement learning, relational learning, behavioral modeling, databases, and graph neural networks.
- Build and deploy core technologies that prove useful in Integrity but can be broadly applied to other areas well.
Minimum Qualifications:
- Expertise in AI/Machine Learning/Deep Learning.
- Experience building broadly-adopted tools/platforms for developers.
Preferred Qualifications:
- Research experience in AI/Machine Learning/Deep Learning/Ranking and Recommendation Systems.
Industry: Internet
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