Summary
David Low is a Machine Learning Engineer at TikTok with a decade of experience combining industry ML deployment and deep academic research. He leverages language models and graph-based methods to reduce misinformation and harmful content at scale, translating research-grade techniques into production systems. His PhD in Applied and Engineering Physics (with a minor in AI/CS) and prior work building state-of-the-art magnetic microscopes and superconducting resonator measurement tools give him a rare blend of experimental physics rigor and machine learning practice. David’s background includes automation, fitting algorithms, and multi-platform engineering from internships to lecturing, which helps him bridge instrumentation, algorithm development, and software delivery. Based in Mountain View, he brings a measured, research-driven approach to pragmatic product problems in content safety.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Engineering Physics/Applied Physics, Minor in Artificial Intelligence / CS, Doctor of Philosophy - PhD, Engineering Physics/Applied Physics, Minor in Artificial Intelligence / CS at Cornell University
Bachelor of Science - BS, Physics, summa cum laude, Bachelor of Science - BS, Physics, summa cum laude at UC Santa Barbara