Machine Learning Engineer Intern

Criteo Technology; Paris; Hybrid; EUR 20,000 - 27,000; Full time

Benefits offered by this job

Hybrid work model

Mentorship & career development

Health benefits

Equity potential

Job summary

Criteo is offering a hands-on internship in its data science team, where you will work closely with a mentor to design and ship high-quality code that impacts millions of users. You will mine large datasets, iterate on ML models, and contribute to system-level improvements in product recommendation engines.

Strong Python/Scala/Java skills and English proficiency are required. This internship emphasizes learning through knowledge-sharing sessions, prototypes, and participation in a collaborative

Qualifications

• Currently in your last year of a BSc/MSc degree in a quantitative field.
• Experience with traditional and modern statistical learning techniques and processing data.
• Proficient at high-level languages such as Python, Scala, Java, C++.
• Good communication skills in English.

Responsibilities

• Collaborate with your mentor to drive your project and apply best practices.
• Gather and mine large data sets to turn them into understandable insights for decision making.
• Develop high-performance algorithms and production-ready code.
• Explore ML models to improve product recommendations and related APIs.

Skills

Python

Scala

Java

C

Education

BSc/MSc in a quantitative field

Job description

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.