Chengming Jiang is a Senior Engineering Manager based in the San Francisco Bay Area with 10 years of experience building large-scale personalized recommender systems and automated machine learning at LinkedIn. He has progressed from software engineer to senior leadership within LinkedIn’s AI org, currently leading Talent Marketplace AI after driving Seekers AI and foundational algorithm work. Chengming pairs a PhD-level research background with hands-on ML engineering—contributing to scalable Spark-based tooling like Photon-ML by improving hyperparameter tuning and Gaussian Process search. He is known for translating research into production-ready systems that improve model performance and reliability at scale.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy Computer Science, Doctor of Philosophy Computer Science at University of California, Davis
Master of Science Information Security, Master of Science Information Security at Shanghai Jiao Tong University
A scalable machine learning library on Apache Spark
Role in this project:
ML Engineer
Contributions:5 reviews, 25 commits, 24 PRs in 3 years 5 months
Contributions summary:Chengming primarily worked on enhancing the machine learning library. Their contributions included adding a new file, `PriorDataReader`, with a method to retrieve prior data, and modifying the `find` function to incorporate this prior data. They also added tests for the new `PriorDataReader` and corrected bugs in the test for the Gaussian Process Search. Furthermore, they introduced hyper-parameter rescaling within the covariance kernel and normalized hyper-parameters in auto-tuning, impacting model performance.
A scalable machine learning library on Apache Spark
Contributions:2 PRs, 82 pushes, 12 branches in 2 years 7 months
scalabledata-sciencemlmachine-learningapache
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Chengming Jiang - Senior Engineering Manager at LinkedIn