The Grind Behind the Epiphany: A Short Story of a Research Project
Follow Criteo’s research journey on Learning from Label Proportions, from early experiments and rejection to a simpler, more rigorous algorithm.
At the Heart of Delivery: What Engineering Program Managers Do at Criteo
At Criteo, Engineering Program Managers (EPMs) sit at the heart of our most complex, cross-team initiatives. We connect business ambition with technical reality, helping engineering teams ship impactful products at scale. In this article, three EPMs share what the role really looks like, why we love it, and how your career can grow in this…
Beyond the demo: Why agentic evaluation matters
Agentic systems powered by LLMs can be incredibly impressive in demos. With a few well-crafted prompts, they can demonstrate reasoning, calling tools, and solving complex tasks [1]. Demos are effective at showcasing what’s possible. Production environments, however, are where those capabilities are tested at scale and under real-world conditions. The same agent that performs perfectly…
AdTech, culture, diversity, and AI: Notes from our latest Women In Tech Meetup
On a weeknight in Bucharest, Criteo opened the doors of its new tech hub for a Women in Tech meetup under a simple but clear theme: Driving Change in Tech. The agenda moved from a deep‑dive keynote on ad tech at scale to a panel about culture, diversity, and AI, and finally, networking. The result…
On the Impact of the Utility in Semivalue-based Data Valuation
A new diagnostic method that scores data valuation robustness for cleaning, efficient training, and fair partner compensation. This Research Card introduces a new way to measure how trustworthy data valuation really is, by checking how much rankings of “most valuable data” change when the performance metric changes. Using a geometric representation of data contributions, the…
Driving Change: Women in Tech Perspectives
Our team at Criteo Toronto partnered with the WomenTech Network Toronto chapter to curate an event titled “Driving Change in Tech” with a focus on “People, Technology, and Leadership”. The event had a technical keynote followed by a panel discussion, both of which were quite engaging and full of insight! Here’s a brief recap: The…
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…
The Gumbel‑Max Trick Made Intuitive
When we work with machine learning models, we constantly turn probabilities into discrete choices. Which ad do we show? Which action do we sample in a reinforcement learning policy? Which word comes next in a language model? All these problems share the same core operation: We have a list of options, each with an associated…
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…
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,…
Blog
AI & Machine Learning
Forever Junior: The Skills AI Can’t Develop For You
October 7, 2026
AI & Machine Learning
From Copilot to Code Agents: How GenAI Is Changing Engineering
September 23, 2026
AI & Machine Learning
Introducing CLEPR, our model for semantic understanding
June 2, 2026
Career & Growth
Forever Junior: The Skills AI Can’t Develop For You
October 7, 2026
Career & Growth
What the EPM Role Looks Like in Practice at Criteo
May 26, 2026
Career & Growth
At the Heart of Delivery: What Engineering Program Managers Do at Criteo
April 22, 2026
Culture & Community
Are tech speakers still relevant in the AI era?
May 19, 2026
Culture & Community
AdTech, culture, diversity, and AI: Notes from our latest Women In Tech Meetup
April 8, 2026
Culture & Community
Driving Change: Women in Tech Perspectives
March 18, 2026
Engineering
Forever Junior: The Skills AI Can’t Develop For You
October 7, 2026
Engineering
Dependencies “à gogo”: History of a Multi-Repository CI at Criteo
September 29, 2026
Engineering
From Copilot to Code Agents: How GenAI Is Changing Engineering
September 23, 2026
- AI & Machine Learning
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- Culture & Community
- Engineering
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AI & Machine Learning
Forever Junior: The Skills AI Can’t Develop For You
October 7, 2026
AI & Machine Learning
From Copilot to Code Agents: How GenAI Is Changing Engineering
September 23, 2026
AI & Machine Learning
Introducing CLEPR, our model for semantic understanding
June 2, 2026
Career & Growth
Forever Junior: The Skills AI Can’t Develop For You
October 7, 2026
Career & Growth
What the EPM Role Looks Like in Practice at Criteo
May 26, 2026
Career & Growth
At the Heart of Delivery: What Engineering Program Managers Do at Criteo
April 22, 2026
Culture & Community
Are tech speakers still relevant in the AI era?
May 19, 2026
Culture & Community
AdTech, culture, diversity, and AI: Notes from our latest Women In Tech Meetup
April 8, 2026
Culture & Community
Driving Change: Women in Tech Perspectives
March 18, 2026
Engineering
Forever Junior: The Skills AI Can’t Develop For You
October 7, 2026
Engineering
Dependencies “à gogo”: History of a Multi-Repository CI at Criteo
September 29, 2026
Engineering
From Copilot to Code Agents: How GenAI Is Changing Engineering
September 23, 2026
