Yi Cui
Machine Learning Engineer at Snap Inc.
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolYi Cui is a machine learning engineer with nine years of experience blending econometrics and applied AI to build recommendation, retrieval, and graph ML systems. Currently at Snap, Yi focuses on content retrieval, freshness, creator success, and generative retrieval using LLMs, after roles across Wayfair, Amazon, and AI startups where work spanned personalization, ranking, and supply-chain forecasting. Trained as a Ph.D. economist with visiting work at Duke and teaching experience in econometrics, Yi brings rigorous causal/statistical thinking to production ML problems. Recognized as an early-career NABE fellow, they pair deep academic grounding with hands-on model deployment at scale. Colleagues describe a curious, youthful mindset—“stay young, stay naive”—that fuels experimentation at the intersection of stats, recommender systems, and generative AI.
9 years of coding experience
Doctor's Degree Economics, Doctor's Degree Economics at The University of North Carolina at Chapel HillThe Chinese University of Hong Kong (CUHK)University of California, Los AngelesVisiting Ph.D. student Econometrics and Quantitative Economics, Visiting Ph.D. student Econometrics and Quantitative Economics at Duke UniversityBachelor of Arts - BA Economics, Bachelor of Arts - BA Economics at Fudan University
Github Skills (4)
mathematical4
modeling3
backend1
python1
Programming languages (1)
Github contributions (5)
cyMichael/ROI_Detection
Oct 2022 - Jan 2023
Contributions:41 commits, 35 pushes, 1 branch in 3 months
cyMichael/Mathematical-Modeling-of-2017
Sep 2017 - Oct 2022
Contributions:1 release, 8 PRs, 10 pushes in 5 years 1 month
mathematicalmodelingmathematical-modeling
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