Software Engineer, Machine Learning at Google DeepMind
San Francisco, California, United States
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Summary
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Senior
🎓
Top School
Jing Lu is a software engineer specializing in machine learning with 12 years of experience building production-grade recommender systems and predictive models. Currently at Google DeepMind, she works on integrating Gemini into consumer workflows and previously improved creator tooling at YouTube, after leading recommender efforts at Roku. Her background blends a PhD in Bioinformatics and an MS in Computer Science, enabling a rare mix of domain expertise in biological data and large-scale ML engineering. At Walmart Labs she scaled bidding and propensity pipelines to serve hundreds of millions of predictions with measurable performance gains, and earlier research roles applied statistical and computational methods to protein structure and diagnostics. She combines research rigor with product-focused execution, often automating pipelines and deploying real-time monitoring for high-throughput systems. Based in San Francisco, she brings both deep scientific training and practical systems experience to recommender and prediction problems.
13 years of coding experience
9 years of employment as a software developer
PhD Bioinformatics, PhD Bioinformatics at University of Michigan Medical School
Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Georgia Institute of Technology
B.S. Applied Physics, B.S. Applied Physics at Nankai University
An Interactive Map of Biochemical Similarity in Molecular Datasets. The document: http://chemtreemap.readthedocs.org/en/latest/ . The project website:
Contributions:3 releases, 392 commits, 1 PR in 3 years 4 months
similaritymolecularproject-websitemapdatasets
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