Beibei Wang
Staff Machine Learning Engineer at LinkedIn
Palo Alto, California, United States
Summary
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Senior🎓
Top SchoolBeibei Wang is a Staff Machine Learning Engineer based in Palo Alto with 11 years of experience building large-scale AI/ML systems and turning research into production at LinkedIn. She led development of the Predicted Confirmed Hires metric—an experiment-resolving signal that combines InMail signals to estimate job outcomes—demonstrating a knack for creating actionable product metrics. Her background includes a Stanford PhD where she applied 3D convolutional networks to fluid-flow CT imaging and performed molecular simulations, giving her rare domain depth in scientific ML and simulation. She has hands-on experience across the ML lifecycle from big-data feature engineering on Presto/Hive and PySpark to model deployment and A/B experimentation. Known for bridging rigorous research with product impact, she excels at translating complex models into scalable, interpretable metrics that inform product decisions. Outside product work she retains deep simulation and statistical modeling expertise from academic and industrial research internships.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Energy Resouces Engineering, Statistics(minor), Management Science and Engineering(minor), Doctor of Philosophy (Ph.D.) Energy Resouces Engineering, Statistics(minor), Management Science and Engineering(minor) at Stanford University
Chinese, EnglishGithub contributions (4)
MG1333051/DynamicFeaturesAndBugs_Examples
Nov 2015 - Nov 2015
Contributions:9 commits, 8 pushes, 1 branch in 3 days
MG1333051/Research2
Nov 2015 - Jan 2016
Contributions:20 pushes, 1 branch in 1 month
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