Machine Learning

Applying machine learning science to Facebook products

Connecting people with the content and stories they care about most.

Machine learning and Applied Machine Learning is essential to Facebook. It helps people discover new content and connect with the stories they care the most about. Our machine learning and applied machine learning researchers and engineers develop machine learning algorithms that rank feeds, ads and search results, and create new text understanding algorithms that keep spam and misleading content at bay. New computer vision algorithms can “read” images and videos to the blind and display over 2 billion translated stories every day, speech recognition systems automatically caption the videos that play in your news feed, and we create new magical visual experiences such as turning panorama photos into fully interactive 360 photos.

“We seek to advance the state of the art in machine learning for maximum impact, and our efforts form the glue between science and research and Facebook experiences.” Joaquin Quinonero Candela, Director of Applied Machine Learning

Latest Publications

All Publications

Neural Supersampling for Real-time Rendering

Lei Xiao, Salah Nouri, Matt Chapman, Alexander Fix, Douglas Lanman, Anton Kaplanyan

ACM SIGGRAPH - August 17, 2020

Learning Robot Skills with Temporal Variational Inference

Tanmay Shankar, Abhinav Gupta

ICML - August 13, 2020

A Counterfactual Framework for Seller-Side A/B Testing on Marketplaces

Viet Ha-Thuc, Avishek Dutta, Ren Mao, Matthew Wood, Yunli Liu

ACM SIGIR - July 25, 2020

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