Fangjing Wu is a Staff Machine Learning Engineer based in Mountain View with 10 years of experience building large-scale ML systems for ads and recommendation at Meta and Facebook. She has deep expertise in ranking and monetization ML, having driven core ads ranking models and Monetization Ranking AI while shipping production solutions in high-throughput environments. Her background spans both industry and research—addressing fairness in NLP at CMU and designing distributed SGD on AWS spot instances—signaling strong algorithmic rigor alongside productionization skills. Earlier roles at Tencent and Baidu sharpened her experience in CTR modeling, large-scale data pipelines, and optimizing GBDT/DNN stacks on big-data platforms. Fluent across Spark/Hadoop/Scala/C++ and modern ML tooling, she combines academic excellence (multiple advanced degrees with top GPAs) with hands-on impact on systems serving billions of users. An understated strength is her track record of translating research ideas into scalable production features that measurably improve ad ranking and user outcomes.
10 years of coding experience
7 years of employment as a software developer
Exchange student, Computer Science, 3.84/4.00, Exchange student, Computer Science, 3.84/4.00 at National Taiwan University of Science and Technology
Master's degree, Informatics, 4.0/4.0, Master's degree, Informatics, 4.0/4.0 at University of San Francisco
Bachelor of Applied Science (B.A.Sc.), Electrical, Electronics and Communications Engineering, 3.83/4.0, Bachelor of Applied Science (B.A.Sc.), Electrical, Electronics and Communications Engineering, 3.83/4.0 at University of Electronic Science and Technology
Master's degree, Embedded Systems, Computer Science, Master's degree, Embedded Systems, Computer Science at Eindhoven University of Technology
Master's degree, Computer Engineering, Master's degree, Computer Engineering at Carnegie Mellon University
Contributions:60 pushes, 1 branch in 2 years 5 months
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Fangjing Wu - Staff Machine Learning Engineer at Meta