Machine Learning Engineer Intern

Criteo Corp.•Paris, TX

35d•Hybrid

About The Position

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 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 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.

Requirements

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.

Responsibilities

Working closely with your mentor to drive your project, design and ensure best practices are applied
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
Develop high-performance algorithms, test and implement the algorithms in scalable, product-ready code

Benefits

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.

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