Tiansheng Yao
Sr Staff Research Scientist at Google DeepMind
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolTiansheng Yao is a Sr. Staff Research Scientist at Google DeepMind with 12 years of experience building ML systems for recommendation, ads, and LLM agents. He previously scaled and led Google’s horizontal App Ads Quality ML team, growing it from scratch into a multi‑dozen engineer organization that shipped privacy-preserving iOS measurement and cross‑product modeling innovations. His background spans Google Brain research on recommender systems and production search/Play quality ML, combining deep research instincts with hands‑on infra and productization. Now focused on AI monetization and agent post‑training, he blends model research, deployment at scale, and measurement gating to drive real business impact. He holds a PhD in Computer Science from UCLA and began his research career with work on large‑scale image hashing at Microsoft Research Asia, reflecting a long trajectory from core research to product engineering.
12 years of coding experience
11 years of employment as a software developer
University of California, Los AngelesBachelor Computer Science, Bachelor Computer Science at Zhejiang University
English, Chinese
Github Skills (13)
machine-learning10
recommender10
google10
ai10
recommender-system9
python9
deep-learning8
tensorflow8
recommendation-system7
data-science7
neural-network7
ml5
deep-neural-networks5
Programming languages (3)
Github contributions (4)
biteorange/topicReviewGibbs
Feb 2014 - Feb 2014
Contributions:26 commits in 16 days
tensorflow/recommenders
Aug 2020 - Jun 2021
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Contributions:4 commits, 6 comments in 10 months
recommenderpythonrecommendersmachine-learningrecommendation-system
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