Jaewon Yang is a Principal Machine Learning Engineer in San Francisco with nine years of experience building and deploying production-scale AI across search, recommendation, NLP, knowledge graphs and social products. He combines award-winning research (PhD-level training from Stanford) with hands-on technical leadership, having led company-wide AI strategy and delivered double-digit engagement gains at Nextdoor and LinkedIn. At LinkedIn he helped create a knowledge graph covering hundreds of millions of members and jobs and drove GNN and multilingual NLP initiatives that scaled across global products; at Nextdoor he spearheaded generative AI adoption and cross-org optimization programs. Now at Pinterest he sets the technical roadmap for representation learning, RL and visual-language models to improve personalized experiences. He is notable for bridging deep research (10+ top-tier papers) with product impact and for growing ML organizations from small teams into large, operational groups.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Science (B.S.) Electrical Engineering, Bachelor of Science (B.S.) Electrical Engineering at Seoul National University
Doctor of Philosophy (Ph.D.) Electrical Engineering, Doctor of Philosophy (Ph.D.) Electrical Engineering at Stanford University
Contributions:29 pushes, 6 branches in 1 year 10 months
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Jaewon Yang - Principal Machine Learning Engineer at Pinterest