Summary
Simeng Yang is a machine learning engineer with nine years of experience building recommendation and retrieval systems at scale, currently a Member of Technical Staff at OpenAI following a senior tenure at Meta. At Meta and Threads he shipped GPU-accelerated streaming retrieval models and novel cold-start architectures that materially improved session metrics, content freshness, and long-term user value. He has deep hands-on experience across the ML lifecycle—from ETL and feature engineering to PyTorch model development and production serving—plus a track record of reducing unoriginal content and improving engagement on Instagram Reels. A UWaterloo CS alum, he has interned at Microsoft and Facebook where he optimized distributed ML pipelines and high-throughput prediction infrastructure. Notably, he built an LLM-based RAG onboarding agent to speed ramp-up for new hires, reflecting an interest in developer productivity and tooling as well as core modeling. Based in Ontario, he pairs product-minded experimentation with infrastructure reliability work across large consumer-scale systems.
9 years of coding experience
6 years of employment as a software developer
Ontario Secondary School Diploma, Ontario Secondary School Diploma at Westmount Secondary School
Bachelor of Computer Science, Bachelor of Computer Science at University of Waterloo
English, Chinese