Daniel Jiang
Member Of Technical Staff at Anthropologie
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolDaniel Jiang is a machine learning and software engineer with a decade of experience bridging foundational research and production systems across academia and industry. He has worked on ML and statistical research at UC Berkeley labs and ICSI, and applied those skills to large-scale problems at Amazon, Google Research, Zoox, and Cruise, focusing on search ranking, long-context LLM memory, real-time OOD detection, and perception for autonomous systems. Comfortable in both research and engineering roles, he brings rigorous theory (provable hypothesis testing, contextual bandits) to practical deployments like extreme classification and multimodal models. Now based in the New York City area and currently a Member of Technical Staff at Anthropologie, he blends deep academic mentorship (Jordan, Dhillon, Morgenstern) with hands-on product impact. An underplayed strength is his pattern of moving between cutting-edge research groups and fast-paced product teams, enabling rapid translation of novel algorithms into scalable systems.
10 years of coding experience
4 years of employment as a software developer
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at University of California, BerkeleyMaster’s Degree, Computer Science, Master’s Degree, Computer Science at University of Washington
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
jekyll8
archived8
react5
computer-vision5
pytorch4
deep-learning4
tensorflow4
bare1
hypothesis-testing1
security1
ios1
batching1
bootstrap1
testing1
letter1
Programming languages (6)
Github contributions (5)
jiangdaniel/jiangdaniel.github.io
Jul 2016 - Aug 2021
Contributions:122 pushes, 7 branches, 2 issues in 5 years 1 month
multimedia-berkeley/location-estimation
Mar 2017 - May 2017
Contributions:50 commits, 3 pushes in 1 month
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