Director of Engineering
Joaquin Quiñonero Candela
Machine Learning
Machine Learning
Applying machine learning science to Meta products
Connecting people with the content and stories they care about most.
Machine learning and applied machine learning is essential to Meta. It helps people discover new content and connect with the stories they care about most. Our 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 two billion translated stories every day. Speech recognition systems automatically caption videos that play in your news feed. And we create new magical visual experiences, such as turning panoramic images 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 Meta experiences.
Joaquin Quinonero Candela
Director, Applied Machine Learning
Latest Publications
Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model
Yuming Du, Robin Kips, Albert Pumarola, Sebastian Starke, Ali Thabet, Artsiom Sanakoyeu
PIE: Personalized Interest Exploration for Large-Scale Recommender Systems
Khushhall Chandra Mahajan, Amey Porobo Dharwadker, Romil Shah, Simeng Qu, Gaurav Bang, Brad Schumitsch
HierCat: Hierarchical Query Categorization from Weakly Supervised Data at Facebook Marketplace
Yunzhong He, Cong Zhang, Ruoyan Kong, Chaitanya Kulkarni, Qing Liu, Ashish Gandhe, Amit Nithianandan, Arul Prakash
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