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Creating a Culture of Learning Inside Your Company
I’ve been working in tech for more than fifteen years now, and when I first started building software, books were one of my main ways to learn. I would carry them everywhere, reading on commutes, during lunch breaks, and late at night. That’s why, for me, everything started with a book. Titles like The Pragmatic…
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Readable Unit Tests: make tests you actually want to write (and read)
You’ll read this test five times more than you’ll write it. Future-you will thank present-you for mocking it readable. This article distills and expands the talk I gave internally at Criteo: Readable Unit Tests. It’s aimed at developers who know unit testing but avoid it because tests feel hard to write, hard to maintain, and — let’s…
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Agentic AI Symposium 2026
A science‑fueled, multidisciplinary approach to Agentic AI Authors: Jean-Yves Franceschi & Mariia Vladimirova At the Criteo AI Lab, we believe that making AI both trustworthy and useful requires a continuous and open dialogue between scientists, engineers, policymakers, regulators, and industry leaders. As AI systems evolve from passive predictors to agentic systems capable of planning, using tools,…
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Our Experience at Snowcamp 2026
Ten years of the coolest dev conference in Grenoble 🏂 Authors: Nicolas Terreyre, Sylvain Dedieu, Arnaud Becquet, Nicolas Drufin, Nicolas Beaudouin, and Léo Gatellier For the fourth consecutive year, Criteo was proud to partner with the Snowcamp conference in Grenoble. Furthermore, we had the privilege of hosting the “Snowcamp Tremplin” at our Grenoble office last November,…
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Leveraging Commerce Data for Outcome-Based Relevancy in Agentic Recommendation Systems
TL;DR Most agentic commerce recommendation services today rely on content embeddings or mainstream LLMs (e.g., Claude, Llama, GPT). While effective for semantic understanding, these models are not grounded in real shopping behavior and are not optimized for commercial objectives such as clicks or conversions. In this article, we show that leveraging commerce data at both…
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🏆R&D Community Awards 2025
Our annual ceremony, where we celebrate achievements together. For the third consecutive year, we gathered to celebrate our achievements within the R&D community and recognize the contributions of all our R&D Ambassadors. At Criteo, expressing gratitude to our teammates is a consistent practice throughout the entire company. In our R&D department, our expert community embraces…
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Video Ads: Introducing video interactivity in production
At the end of 2024, Criteo’s Video R&D team started working on a new goal: adding recommended products on top of videos, so that each display delivered to someone on the Open Web would become the most relevant possible. Over the last two decades, Criteo has continuously advanced its recommendation engine. Good news: From now…
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Off-Policy Learning in Large Action Spaces
Optimization Matters More Than Estimation This Research Card shows that in large-scale recommendation systems, like those used at Criteo, focusing on how we optimize algorithms is more impactful than trying to perfectly estimate outcomes. By using simpler, more stable training objectives, we can achieve better click-through rates, faster experimentation, and more scalable performance across millions…
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My notes from GoTech World 2025
During the second week of November, I attended GoTech World, the largest B2B expo-conference in Central and Eastern Europe and my second tech event after DevCon earlier that month. I hadn’t planned to go, but I unexpectedly won an Instagram giveaway from Supertree, a coworking company that partnered with DevCon, so I embraced this opportunity!…
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Criteo Boosts Ad Performance with Latest AI Advancements
Abstract. Everyone talks about AI today, and it seems AI has become an off-the-shelf tool providing plug-and-play capabilities. However, when addressing the hardest problems, such as those arising in the Commerce Media and AdTech industry, things are far more complex and require advanced AI (more specifically, machine learning) expertise. In this post, we share the…