Zhile Zou
Senior Machine Learning Engineer at Google
London, England, United States
Summary
👤
Senior🎓
Top SchoolZhile Zou is a Senior Machine Learning Engineer with 14 years of experience building large-scale, production ML systems across Google, Yahoo, IBM and startups, currently working on personalized deep retrieval for YouTube Search and AI/Gemini integration. He brings deep expertise in search retrieval, ad spam mitigation, document OCR and click modeling, and has repeatedly shipped distributed systems using cloud platforms and Hadoop ecosystems. Zhile pairs strong algorithmic foundations—demonstrated by hands-on implementations of core data structures and interview-ready algorithms on GitHub—with product-facing impact on systems serving hundreds of millions of users. Based in London, he blends research experience from IBM China Research Lab with pragmatic engineering leadership fostered over long-tenured roles at major tech companies. An engineer who "Learns, Codes, Loves," he is as comfortable tuning retrieval models as refactoring backend systems to improve code quality and reliability.
14 years of coding experience
16 years of employment as a software developer
Master Computer Science, Master Computer Science at Xidian University
Stackoverflow
1,979reputation
420kreached
8answers
2questions
scala
top-5%
java
top-5%
recursion
top-1%
Github Skills (18)
algorithms10
data-structure10
java10
recursion10
javas10
data-structures10
scala9
binary-search-tree9
quicksort9
hashtable8
heapsort8
dynamic-programming6
unicode6
encoding6
linux6
Programming languages (1)
Github contributions (5)
bpilania/interview
Aug 2011 - Jul 2013
My interview documents, algorithm implementations, etc
Role in this project:
Backend Developer & Algorithm Implementer
Backend Developer & Algorithm ImplementerContributions:63 commits in 1 year 11 months
Contributions summary:Zhile primarily contributed to implementing various algorithms and data structures, with a focus on problem-solving and interview preparation. Their work included implementing sorting algorithms like QuickSort and heap sort and search algorithms, as well as binary search trees and hash tables. The contributions demonstrate a strong understanding of fundamental computer science concepts and data structures and algorithms. Additionally, the user refactored package names and fixed a bug, indicating a commitment to code quality.
implementationscppdatastructuresjavadata-structures
zouzhile/scikit-learn
Jan 2016 - Mar 2016
Contributions:4 PRs, 2 pushes in 2 months
pythondata-sciencelearn-machine-learningmachine-learningscikit-learn
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