November 17th, 2016
Jeudi 24 Novembre chez Criteo – rue Blanche, à Paris
Criteo vous fait rencontrer des femmes ingénieures, scientifiques, entrepreneures, qui viennent nous parler de leur parcours, difficultés (ou pas, ça peut aussi valoir le coup), de leurs ambitions, pour que les femmes prennent leur place dans le monde professionnel, souvent confronté à un univers masculin. Qui au pire les rejette et au mieux les ignore.
Ces femmes viennent encourager, motiver, et raconter des parcours qui n’ont pas été encore entendu jusqu’ici. Et rester positives !
November 8th, 2016
The new version of Criteo Labs internship program is out ! This year, we will have over 30 internship offers available in our various SRE and Dev teams with technical challenges and cutting edge technologies to work on.
Our previous year’s Campus program ended with about 20 interns being hired and 92% of these interns yielding in permanent job contracts to stay on with Criteo (from our 2015-2016 program).
As one of the largest and dynamic R&D teams in Europe, Criteo Labs is always faced with new and relevant engineering challenges to help steer our rapid growth and exciting projects. As a result, we are always on the lookout for outstanding graduating talents from engineering schools around (Europe, USA and beyond).
November 2nd, 2016
November 29th, Criteo 32 rue Blanche, Paris
Criteo is organizing the Machine Learning in the Real World workshop. This workshop aims at bringing together people from the industry and from academia to better understand which machine learning algorithms are used in practice and what we can do to improve them.
October 26th, 2016
Today Criteo Lab’s Justin Coffey will be presenting a high-level overview of the history of the Analytics Stack at Criteo. I’ll discuss where we came from and how we came to build what we have today in collaboration with Analysts. While we’ve largely addressed issues with data volume and velocity, I’ll dig into two topics that are much less frequently touched upon and a clear work area for us: keeping up with the variety of data and an ever increasing number of highly active analytic and reporting users.
October 25th, 2016
NEW YORK – October 25, 2016 – Criteo S.A. (NASDAQ: CRTO), the performance marketing technology company, today announced the launch of Criteo Predictive Search, a groundbreaking product that brings the Company’s proven, performance-based approach to Google Shopping. Criteo Predictive Search, available immediately in the US, offers an automated, end-to-end solution, based on powerful machine-learning, that eliminates guesswork and systematically improves results from Google Shopping using precise, predictive optimization across every aspect of the campaign.
Early adopters of the new solution, who have taken part in beta tests, have seen as much as a 22-49 percent lift in revenue at constant cost. These clients include 30 of the leading U.S. retailers, such as Revolve Clothing, Teleflora and Camping World.
Search is the largest digital channel for marketers, garnering 45 percent of digital ad spend with Product Listing Ads comprising 21 percent1, making the ad tech side of the industry prime for disruption. Marketers are actively seeking more impactful solutions to reach their target consumers. Criteo’s unique approach to search offers the first end-to-end solution on the market for Google Shopping, delivering performance at scale. With increasing competition in the Shopping channel, retailers are losing out on significant opportunities as a result of the extensive time it takes to realize gains from manual, reactive optimization approaches.
October 24th, 2016
Criteo is committed to contributing to the open source community.
We use ample open-source software internally (Cassandra, Chef, Couchbase, Gerrit, GitLab, Graphite, Hadoop, Kafka, …).
We publish the tools we believe to be of general interest, and contribute bug fixes and improvements to the open-source software we use.
Our projects are split between two GitHub entities: