Machine Learning Engineer Intern

Criteo; Paris; Sur place; EUR 30 000 - 40 000; Plein temps

Résumé du poste

A leading technology company in Paris is seeking a talented individual to join as an intern focused on developing algorithms and analyzing large datasets. Candidates should be in their final year of a quantitative degree and possess experience with statistical learning techniques and programming languages such as Python or Java. This role involves prototyping solutions and contributing to projects impacting millions of users.

Qualifications

• Currently in your last year of BSc/MSc in a quantitative field (Engineering, Mathematics, Statistics, Computer Science).
• Experience with traditional and modern statistical learning techniques and proficient in processing data.
• Implementation experience with high-level languages such as Python, Scala, Java, or C++.

Responsabilités

• Work closely with mentor to drive project and apply best practices.
• Identify key problems, devise solutions, and build prototypes.
• Gather and analyze large datasets to provide actionable insights.
• Develop high-performance algorithms and implement scalable code.

Connaissances

Statistical learning techniques

Data processing

Python

Scala

Java

C++

Formation

BSc/MSc in a quantitative field

Description du poste

In a team, you will work 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 while 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 state-of-the-art algorithms. Gather and analyze large datasets to turn them into understandable and actionable insights to keep Criteo ahead of competitive threats. You will develop high-performance algorithms, test them, and implement scalable, product-ready code.

Projects you could work on include:

• Technical improvements in the product recommendation engine and its APIs.
• Using Machine Learning models to predict user affinity with certain categories of products or brands.
• Enhancing existing models in production, including feature and model engineering, offline evaluation, and online testing.
• Extracting product attributes from information provided by advertisers.
• Contributing to research on AI fairness in advertising, such as analyzing platform behavior and proposing fixes.

Who You Are:

• Currently in your last year of BSc/MSc in a quantitative field (Engineering, Mathematics, Statistics, Computer Science).
• Experience with traditional and modern statistical learning techniques and proficient in processing data.
• Implementation experience with high-level languages such as Python, Scala, Java, or C++.

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