Kun Jin
Machine Learning Engineer at Google
Ann Arbor, Michigan, United States
Summary
👤
Senior🎓
Top SchoolKun Jin is a Machine Learning Engineer with 11 years of experience bridging rigorous academic research and product-focused ML, currently working on recommendations and generative AI at Google. He holds a Ph.D. in ECE from the University of Michigan and dual B.S. degrees from Peking University, and his research spans trustworthy ML, mechanism design, algorithmic game theory, and recommender systems. His published work includes contributions on adversarial robustness for diffusion models and strategic fairness in performative prediction, and he co-authored a NeurIPS 2024 paper on user-creator dynamics in recommender systems. Known for translating theoretical insights into scalable systems, he has built production prototypes for scoring and pricing systems at ByteDance and Microsoft using cascaded ensembles, GNNs, and deep models. Based in Ann Arbor, he blends deep theory with hands-on engineering to improve both model reliability and product impact.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at University of MichiganBachelor of Science - BS Electronics and Information Science, Bachelor of Science - BS Electronics and Information Science at Peking University
Chinese, Chinese
Github Skills (25)
python9
machine-learning9
deep-learning8
tensorflow8
data-science7
neural-network7
deep-neural-networks5
ml5
esptool5
translation4
pyinstaller4
nmt4
nodemcu4
sequence-to-sequence3
self-contained3
Programming languages (4)
Github contributions (5)
Ushiao/wordiscovery
Dec 2017 - Dec 2017
Contributions:1 commit, 29 pushes, 1 branch in 1 day
Ushiao/smartlife
Dec 2017 - Dec 2017
a small smart light project
Contributions:1 commit, 6 pushes, 1 branch in 1 day
smart-lightdockerlight
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