Jifan Zhang
Member Of Technical Staff at Thinking Machines Lab
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolJifan Zhang is a Machine Learning researcher and software engineer with nine years of experience building data-efficient systems for industry-scale AI, currently a Member of Technical Staff at Thinking Machines Lab. His work centers on human annotation and active learning to minimize labeling costs, with research deployed at top tech firms and highlighted internally by Mark Zuckerberg during his time at Meta. Jifan has held R&D roles across leading AI organizations including Anthropic, xAI, Amazon, and Meta, contributing to safety, post-training behavior, and inference-time scaling for large models. He holds a PhD in Computer Science (Machine Learning) from UW–Madison and a MS/BS from the University of Washington, blending deep research with practical system engineering. An uncommon thread in his career is repeatedly translating theoretical improvements in data selection into production pipelines used at trillion-scale datasets.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of WashingtonDoctor of Philosophy - PhD, Computer Science, Machine Learning, Doctor of Philosophy - PhD, Computer Science, Machine Learning at University of Wisconsin-MadisonMiddle School Diploma, Middle School Diploma at The High School Affiliated to Renmin University of ChinaSecondary School, Secondary School at PRINCETON INTERNATIONAL SCHOOL OF MATHEMATICS AND SCIENCE, INC.
Github Skills (1)
machine-learning2
Programming languages (2)
Github contributions (5)
jifanz/jifanz.github.io
Apr 2021 - Nov 2024
Contributions:77 pushes, 2 branches in 3 years 7 months
EfficientTraining/LabelBench
Jun 2023 - Nov 2024
Contributions:3 reviews, 14 PRs, 20 pushes in 1 year 5 months
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