Liqun Yu
Machine Learning Engineer at Snap Inc.
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolLiqun Yu is a machine learning engineer and tech lead based in San Jose with a decade of experience building search, ranking, and recommendation systems at scale. He has driven relevance and ranking improvements at Apple Maps and currently applies production ML expertise at Snap, combining deep statistical rigor from a PhD in Statistics with practical engineering. His background includes large-scale embedding systems and Spark/Scala data pipelines for advertising and cold-start problems, plus NLP analysis layered on user representations. Known for turning research-grade models into reliable production services, he balances model quality with scalable data engineering. Academically strong (MS 3.98/4.0, PhD 4.00/4.00) with roots in mathematics from USTC, he brings both theoretical depth and hands-on implementation experience. Quietly, he has a consistent record of improving downstream ranking tasks through principled embedding and evaluation work.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at University of Science and Technology of ChinaMaster's degree, Mathematics, 3.98/4.0, Master's degree, Mathematics, 3.98/4.0 at Washington University in St. Louis
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (4)
amdgpu2
macos1
nvidia1
amd1
Programming languages (4)
Github contributions (5)
liqun730/QRADMM
Nov 2015 - Feb 2018
Contributions:9 pushes, 1 branch in 2 years 3 months
liqun730/QPADM
Jul 2016 - Mar 2018
Contributions:12 pushes, 1 branch in 1 year 8 months
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