Summary
Jason S is a Senior Machine Learning Scientist with nine years of experience and a CSE Ph.D. from the University of Michigan, now based in San Jose. He focuses on agentic reinforcement learning for large language models and currently builds in-house LLM capabilities for member understanding, job matching, and recommendations at LinkedIn Core AI. His background spans vision-language models, responsible AI, and adversarial machine learning with 20+ publications and research contributions at top venues like ECCV and ACM MM. Industry experience includes ML roles at TikTok, Meta, Uber, and national lab collaborations where work translated directly into production-focused robustness and safety improvements. Notably, his research often bridged academic rigor and deployable systems—evident in internships that led to full-time offers and papers from applied projects. He combines deep research credentials with practical engineering impact on recommendation and content-safety pipelines.
9 years of coding experience
7 years of employment as a software developer
Summer Intensive Program Electrical and Electronics Engineering, Summer Intensive Program Electrical and Electronics Engineering at University of Washington
Doctorate Degree Computer Science, Doctorate Degree Computer Science at University of Michigan
Bachelor of Science and Engineering - BSE Information Engineering, Bachelor of Science and Engineering - BSE Information Engineering at Shanghai Jiao Tong University
Chinese, English