Machine Learning Engineer Intern

Criteo; Paris; Hybride; EUR 13 000 - 20 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Mentorship program

Career development opportunities

Health benefits

Résumé du poste

Criteo seeks a driven student in their final year of BSc/MSc in a quantitative field to work on cutting‑edge ML projects. You’ll collaborate with a mentor, design and ship high‑quality code, and turn large datasets into actionable insights that influence product decisions and performance.

You’ll be exposed to state‑of‑the‑art algorithms, contribute to recommendations models, and participate in workshops and knowledge sharing. A hybrid work model and strong English communication are expected.

Qualifications

• Last year of BSc/MSc in a quantitative field (Engineering, Mathematics, Statistics, Computer Science).
• Experience with statistical learning techniques and processing data.
• Proficiency in Python, Scala, Java or C++.
• Strong communication in English.

Responsabilités

• Collaborate with your mentor to drive your project and apply best practices.
• Develop high-performance, scalable, product-ready code and algorithms.
• Analyze data to turn it into actionable insights for business impact.
• Participate in knowledge sharing sessions and contribute to model improvements.

Connaissances

Python

Scala

Java

C++

Formation

Last year of BSc/MSc in quantitative field

Outils

Description du poste

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 last 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:

We’re Criteo, the Commerce Intelligence Platform. Criteo helps businesses turn shopper signals into commerce outcomes while delivering more relevant experiences for shoppers. We use proprietary commerce intelligence and AI decisioning to drive relevance for shoppers and performance for businesses.

At Criteo, our culture is as unique as it is diverse. From our offices across the globe or from the comfort of home, 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 home 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.
• A team that cares – Diverse, inclusive, and globally connected.
• Fair pay & perks – Attractive salary, with performance-based rewards and family-friendly policies, plus the potential for equity depending on role and level.

Additional benefits may vary depending on the country where you work and the nature of your employment with Criteo.