Vincent Marois
Research Engineer, Applied at Google DeepMind
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolVincent Marois is an applied research engineer at Google DeepMind with eight years of ML and software engineering experience across industry and research. He has built and shipped large-scale recommendation and fraud-detection systems at Twitter and Checkout.com, where his work measurably increased monetizable users and engagement while cutting inference latency. His background includes AI research at IBM—contributing to papers on compositional generalization and visual reasoning—and co-developing the Mi-Prometheus reproducible ML framework. With dual master’s degrees from Georgia Tech and INSA Lyon, he blends academic rigor with product-focused delivery and a particular interest in open-source tooling at the intersection of deep learning and production systems. Notably, he has hands-on experience turning prototype models into production pipelines (Airflow, MapReduce, caching optimizations) and scaling them to millions of users.
8 years of coding experience
4 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of TechnologyMaster's degree Electrical Engineering, Master's degree Electrical Engineering at INSA Lyon - Institut National des Sciences Appliquées de Lyon
French, English
Github Skills (5)
pytorch10
machine-learning10
natural-language-processing4
artificial-intelligence3
data-science3
Programming languages (3)
Github contributions (5)
vmarois/tdsi-project-pedestrian
Nov 2017 - Jan 2018
Contributions:32 commits, 14 pushes, 1 branch in 2 months
vmarois/tdsi-challenge-deep-echo
Oct 2017 - Mar 2018
Contributions:47 commits, 2 pushes, 1 branch in 4 months
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