Nicolas Bievre is a Senior Machine Learning Engineer at Meta, where he plays a critical role in the design and deployment of large-scale, AI-based recommender systems for ads ranking. He is also a primary architect of innovative AI solutions designed to enhance both the user and advertiser experience.

After graduating from Stanford University and CentraleSupélec, he developed extensive industry and research experience in Artificial Intelligence, including machine learning, recommender systems, Large Language Models (LLMs), and Generative AI, with specialized applications in digital advertising, personalization, and bioinformatics. He has a proven track record of architecting and implementing recommender systems that personalize the user experience for billions of people globally.

Mr. Bievre has applied his expertise in machine learning at premier AI-driven companies, including Meta, PayPal, Google, and Amazon, where he has made several original contributions to the field. At Meta, he has been a key contributor to the “Background AI” solution, which leverages Generative AI to automatically enhance ad creatives, improving performance while significantly reducing marketing costs. He has also developed novel AI architectures, such as a novel conversion-attribution framework recognized with the Best Paper Award at the 2025 AdKDD conference. Previously, at PayPal, Mr. Bievre pioneered the introduction of AI into the PayPal app to automatically personalize content and the user experience, leading to measurable gains in global engagement.

As an internationally recognized expert, Mr. Bievre serves as a reviewer for leading AI journals and conferences, including NeurIPS and AAAI, and acts as an AI Consultant for the French government.