Yale Song
Senior Staff Research Scientist at Google
Redmond, Washington, United States
Summary
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Senior🎓
Top SchoolYale Song is a Senior Staff Research Scientist with 11 years of experience in computer vision and machine learning, currently at Google after research roles at Meta FAIR and Microsoft Research. He holds a PhD from MIT and has led applied research programs that turned video understanding algorithms into production features across Yahoo, Flickr and Tumblr. Yale’s work spans large-scale visual recognition, multimodal human behavior understanding, and practical systems like a C++/Python video understanding library and video summarization pipelines. He blends deep academic rigor with product-driven impact, having both founded groups and set hiring and research agendas in industry labs. Based in Redmond, he combines a strong publication record with hands-on engineering—an uncommon mix that enables rapid transition from cutting-edge research to deployed services.
11 years of coding experience
19 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Massachusetts Institute of TechnologyBachelor of Science - BS EECS, Bachelor of Science - BS EECS at Hanyang University
Github Skills (16)
metric-learning10
machine-learning10
caffe10
deep-learning10
semantic10
animated-gif10
embedding10
video-language10
retrieval10
yahoo10
bayesian9
pytorch9
apidoc6
computer-vision3
music2
Programming languages (5)
Github contributions (5)
yalesong/natops
Jul 2016 - Aug 2017
Contributions:7 commits, 11 pushes, 1 branch in 1 year 1 month
yalesong/pvse
Jun 2019 - Nov 2022
Polysemous Visual-Semantic Embedding for Cross-Modal Retrieval (CVPR 2019)
Contributions:51 commits, 25 PRs, 56 pushes in 3 years 6 months
pytorchmodalcross-modaldeep-learningmetric-learning
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