Bin Deng
Staff Machine Learning Engineer at LinkedIn
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolBin Deng is a Staff Machine Learning Engineer in the San Francisco Bay Area with 10 years of experience applying ML and big data to business problems across LinkedIn, Walmart Global Tech, and enterprise product teams. He blends rigorous academic training—a CMU master's in Machine Learning and a PhD in Rehabilitation Science—with hands-on production engineering, moving from research-infused models to scalable features in large-scale systems. Known for a curiosity-driven approach to new technologies (喜欢尝试新奇的技术), he advances cross-functional initiatives that tie model performance directly to product impact. Comfortable both leading technical direction and diving into code, Bin’s background in biological sciences and rehabilitation research gives him a distinctive perspective on data-driven experimentation and human-centered metrics.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD) Rehabilitation Science, Doctor of Philosophy (PhD) Rehabilitation Science at University of Kansas Medical CenterBachelor of Science (B.S.) Biological Sciences, Bachelor of Science (B.S.) Biological Sciences at Tsinghua UniversityMaster's degree Machine Learning, Master's degree Machine Learning at Carnegie Mellon University
English
Github Skills (2)
java2
swing2
Programming languages (1)
Github contributions (5)
JosephMorgan/SaaSTest
Nov 2018 - Dec 2018
Contributions:11 commits, 13 pushes in 22 days
JosephMorgan/JosephMorgan.github.io
Oct 2016 - Dec 2017
Contributions:38 pushes, 1 branch in 1 year 2 months
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