Machine Learning Engineer Intern

Criteo; Paris; À distance; EUR 13 000 - 18 000; Plein temps

Avantages offerts par ce poste

Hybrid/Remote working

Mentorship programs

Health benefits

Wellbeing support

Résumé du poste

Criteo is seeking a driven student in their final year of a BSc/MSc to work on data-driven recommendation systems. You will collaborate with a mentor, craft scalable algorithms, and ship code used by millions of users.

You'll apply statistical learning techniques, process large datasets, and help improve models while gaining exposure to product-facing ML in a globally distributed team.

Qualifications

• Currently in the last year of a BSc/MSc in a quantitative field (Engineering, Mathematics, Statistics, Computer Science).
• Experience with traditional and modern statistical learning techniques and data processing proficiency.
• Implementation experience with languages such as Python, Scala, Java, C*.
• Good communication skills in English.

Responsabilités

• Collaborate with your mentor to drive your project from design to production-ready code.
• Develop high-performance algorithms and turn large data sets into actionable insights.
• Explore machine learning models to improve product recommendations and models in production.
• Extract product attributes from advertiser information and contribute to AI fairness studies.

Connaissances

Statistical learning techniques

Data processing

English communication

Formation

BSc/MSc in quantitative field

Outils

Python

Scala

Java

C*

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.

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.