Machine Learning Engineer Intern at Criteo

Poste Machine Learning Engineer Intern
Publié le 21 Mar 2026
Expiré 20 Apr 2026
Entreprise Criteo
Lieu Paris | FR
Type de contrat Full Time

Description du poste :

Dernières informations de recrutement de Criteo pour le poste de Machine Learning Engineer Intern. If the Machine Learning Engineer Intern offre à Paris correspond à votre profil, soumettez votre candidature directement via le portail Jobkos mis à jour.

Notez que décrocher un emploi demande de répondre à des critères spécifiques fixés par l'employeur. Nous espérons que cette opportunité chez Criteo pour le poste de Machine Learning Engineer Intern ci-dessous correspond à vos attentes.

What You'll Do:

In a team, you will be working closely with your mentor to drive your project, design and ensure best practices are applied. You can ask questions and participate in all knowledge sharing sessions/workshops, etc. You are encouraged to actively voice your ideas whilst learning how to build and ship quality code into production which will likely affect millions of users instantly. Identify key problems, devise solutions, build prototypes, and stay current on published state-of-the-art algorithms. Gather and mine large data sets for turning them into understandable and actionable insights to ensure Criteo remains one step ahead of competitive threats. You will develop high-performance algorithms, test and implement the algorithms in scalable, product-ready code.

Projects you could work on:

  • Technical improvements in product recommendation engine and its APIs.
  • Using Machine Learning models to predict the affinity of a user with certain category of products or with a certain brand.
  • Improving the current models we have in production, which might include (amongst others) feature and model engineering, offline evaluation and online testing of the models.
  • Extracting product attributes from information provided by our advertisers.
  • Contribute to the stream of studies around the fairness of AI-driven advertisement (e.g. studying the behavior of our platform, propose and implement fixes, etc.)
Who You Are:
  • You are currently in your Dernier year of Bsc/Msc degree in a quantitative field (Engineering, Mathematics, Statistics, Computer Science).
  • Experience with traditional and modern statistical learning techniques and you are proficient at processing data.
  • Implementation experience with high-level languages, such as Python, Scala, Java, C*.
  • Good communication skills in English.

We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we’d love to see your application!

Who We Are:

Criteo is a leader in commerce media, helping brands, agencies, and publishers create meaningful consumer connections through AI-powered advertising solutions. We’re shaping a more open and sustainable digital future for advertising.

At Criteo, our culture is as unique as it is diverse. From our offices across the globe or from the comfort of Accueil, our 3,600 Criteos collaborate together to build an open, impactful, and forward-thinking environment.

We foster a workplace where everyone is valued, and employment decisions are based solely on skills, qualifications, and business needs—never on non-job-related factors or legally protected characteristics.

What We Offer:

Ways of working – Our hybrid model blends Accueil with in-office experiences, making space for both.
Grow with us – Learning, mentorship & career development programs.
Your wellbeing matters – Health benefits, wellness perks & mental health support.

Détails de l'offre :

  • Entreprise: Criteo
  • Poste: Machine Learning Engineer Intern
  • Lieu de travail: Paris
  • Pays: FR

Comment postuler :

Après avoir lu et compris les critères et les qualifications requises dans l'annonce Machine Learning Engineer Intern at the office Paris ci-dessus, préparez immédiatement votre dossier (lettre de motivation, CV, copie de diplôme, etc.) et envoyez-le via le lien Page Suivante ci-dessous.

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