Lin Zeng
Senior Machine Learning Engineer at Meta
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolLin Zeng is a Senior Machine Learning Engineer based in the New York City area with 12 years of quantitative and ML experience and a six-year track record building production ML/DL models. After six years leading multi-asset quantitative research and strategy at BlackRock as a VP, Lin now applies that rigorous statistical and financial-engineering background to ads ranking at Meta. Educated in statistics and financial engineering (UC Berkeley, Cornell) with dual degrees in mathematics and economics, Lin blends theoretical depth with practical, production-focused engineering. Known for curiosity and continuous learning, Lin bridges research and engineering to turn complex models into scalable systems. Colleagues rely on Lin’s ability to translate advanced probabilistic methods into robust, high-throughput solutions in mission-critical environments.
12 years of coding experience
Statistics, Statistics at University of California, BerkeleyB.S. in Mathematics, B.S. in Mathematics at Wuhan UniversityMaster of Engineering (MEng) Financial Engineering, Master of Engineering (MEng) Financial Engineering at Cornell University
Chinese, English
Github Skills (3)
google5
python5
gemini2
Programming languages (1)
Github contributions (5)
ly232/DistributedLevelDB
Aug 2013 - Dec 2013
Contributions:49 commits in 4 months
ly232/coursera
Feb 2015 - Sep 2024
Contributions:32 pushes, 1 branch in 9 years 9 months
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