Yexi Jiang
Senior Staff Machine Learning Engineer, Meta AI Studio, GenAI at Roblox
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolYexi Jiang is a Senior Staff Machine Learning Engineer at Meta AI Studio with 13 years of experience building production-grade ML systems, personalization, and GenAI products across Meta, Roblox, Uber, IBM Research, and Microsoft Research. He combines deep academic credentials—20+ publications and 1,000+ citations—with hands-on engineering that has driven real business impact, including multi-team real-time recommender launches that exceeded goals while cutting costs dramatically. An early open-source committer and Apache PMC member, he helped implement distributed ML algorithms in projects like Mahout and Hama, bringing large-scale system design to practical ML workflows. Yexi’s background spans platform, applied research, and productization—he’s equally comfortable designing ML CI/CD and inference services for autonomous systems or crafting integrity-focused ranking models. His interest in philosophy informs a reflective approach to technology, using historical and ethical perspectives to shape robust, human-centered AI. Based in the San Francisco Bay Area, he blends research rigor with a coder’s pragmatism to move experimental models into reliable production.
13 years of coding experience
7 years of employment as a software developer
Computer Science, Computer Science at Sichuan UniversityChengdu NO.7 High School 成都市第七中学Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Florida International University
Chinese, English, Spanish
Stackoverflow
240reputation
64kreached
3answers
2questions
Github Skills (45)
python10
binary-search10
machine-learning10
bengali10
java10
deep-learning10
gpu10
algorithm9
nvidia-docker9
algorithms9
numpy9
memory-management9
tensorflow9
neural-network9
agent9
Programming languages (5)
Github contributions (5)
w3nchao/algorithms
Nov 2013 - Oct 2014
Contributions:368 commits in 11 months
yxjiang/undecided
Nov 2014 - Feb 2015
Contributions:6 commits, 1 push in 3 months
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