Summary
Charles Guille-escuret is a Senior Research Scientist based in Sunnyvale with a decade of experience focused on large-scale pretraining, MLSys and infrastructure, optimization, architecture, scaling laws, and training dynamics. He recently joined MBZUAI’s Institute of Foundation Models after completing a PhD at Mila, and has held research roles at ServiceNow, Apple, and UC Berkeley where he deployed high-recall video analytics in production. His background spans both theory—proving graph fixation results during early research—and hands-on engineering, building energy-forecasting and large pretraining pipelines that scale to millions of examples. Known as a pretraining consultant in Sunnyvale, he blends deep academic training with practical system-building to push foundation-model training efficiency and robustness.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy, Artificial Intelligence, Doctor of Philosophy, Artificial Intelligence at Mila - Quebec Artificial Intelligence Institute
MPSI/MP*, MPSI/MP* at Lycée Fénelon
Lavoisier
Master of Science (MVA), Machine Learning, Master of Science (MVA), Machine Learning at École Normale Supérieure de Cachan
French, English