Jiying Wen
Machine Learning Engineer at Uber
Vancouver, British Columbia, United States
Summary
👤
Senior🎓
Top SchoolJiying Wen is a Machine Learning Engineer with a decade of experience applying ML to large-scale structured and unstructured data across e-commerce recommendations, IIoT, public safety, and legal compliance. Currently at Uber after roles as an Applied Scientist at Amazon and Data Scientist at SAP, she builds production-grade models in recommender systems, causal ML, anomaly detection, predictive modeling, and NLP. Her background—MSc in Statistics plus earlier degrees in chemistry and polymer/hematology—gives her a rare mix of rigorous statistical training and domain versatility. Known as a fast learner and pragmatic practitioner, she rapidly translates domain knowledge into state-of-the-art, deployable solutions. Based in Vancouver, she brings both research-quality methods and operational experience optimizing ML for real-world impact.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.), Chemistry, 90/100, Bachelor of Science (B.S.), Chemistry, 90/100 at Beijing Normal UniversityMaster of Science (M.Sc.), Polymer Chemistry and Hematology, 86/100, Master of Science (M.Sc.), Polymer Chemistry and Hematology, 86/100 at The University of British ColumbiaMaster of Science (M.Sc.), Statistics, 4.12/4.33, Master of Science (M.Sc.), Statistics, 4.12/4.33 at Simon Fraser University
English, Chinese
Github Skills (3)
leaflet5
htmlwidgets3
interactive1
Programming languages (1)
Github contributions (5)
JiyingWen/bert-qa
Jul 2019 - Jul 2019
Contributions:32 commits, 33 pushes, 1 branch in 3 days
JiyingWen/DatabaseCourse_Stanford
May 2016 - May 2016
Contributions:4 pushes in 1 day
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