Ling Cheng
Machine Learning Engineer at Meta
San Francisco, California, United States
Summary
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Top SchoolLing Cheng is a Machine Learning Engineer with a Ph.D. in Neuroscience and 10 years of experience building production ML systems across major tech companies in San Francisco. She has shipped risk and safety models at Block and now works on large-scale ML at Meta, with prior roles creating personalized recommendation engines, causal inference pipelines, and fraud detection services. Her background in high-throughput genetic screens and published neuroscience research informs a data-driven, experiment-first approach to model design and evaluation. Comfortable across the full ML lifecycle, she has led feature store initiatives and deployed models for safety, monetization, and onboarding risk. Notably, she bridges deep scientific rigor with product-oriented engineering, translating complex causal and statistical methods into scalable, operational systems.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Neuroscience, Doctor of Philosophy (Ph.D.) Neuroscience at Case Western Reserve UniversityBachelorâs Degree Biology/Biological Sciences General, Bachelorâs Degree Biology/Biological Sciences General at Tsinghua University
Chinese, English
Github Skills (5)
testing4
campus4
leaflet2
software-design2
openstreetmap1
Programming languages (3)
Github contributions (5)
LingCheng3273/OSS-Lab
May 2019 - Aug 2019
Contributions:105 pushes, 1 branch in 2 months
Gomezs2/Momentum
Mar 2019 - Apr 2019
Software Design and Documentation Project
Contributions:21 PRs, 56 pushes, 14 branches in 1 month
software-designproject-documentation
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