Machine Learning Engineer Intern

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

Résumé du poste

A leading company is seeking a motivated graduate to join their tech team in Grenoble. You'll work on impactful projects related to product recommendation engines, machine learning, and AI fairness. This position offers a unique opportunity to develop algorithms that reach millions of users and enhance your expertise in a collaborative environment.

Qualifications

• Final year of a BSc or MSc degree in Engineering, Mathematics, Statistics, or Computer Science.
• Experience with statistical learning techniques and data processing.

Responsabilités

• Identify key problems and devise solutions using algorithms.
• Gather and analyze datasets to generate actionable insights.
• Develop high-performance algorithms and implement them.

Connaissances

Statistical learning techniques

Data processing

Python

Scala

Java

C++

Formation

BSc or MSc in quantitative field

Description du poste

Client:

Criteo

Location:

Grenoble, France

Job Category:

Other

EU work permit required:

Yes

Job Reference:

f5596ba2b357

Job Views:

4

Posted:

28.06.2025

Expiry Date:

12.08.2025

Job Description:

What You'll Do:

As part of a team, you'll work closely with your mentor to drive your project, apply best practices, and participate in knowledge sharing sessions and workshops. You'll actively voice your ideas while learning to build and deploy quality code that impacts millions of users instantly. Your responsibilities include identifying key problems, devising solutions, building prototypes, and staying current with state-of-the-art algorithms. You'll gather and analyze large datasets to generate actionable insights, helping Criteo stay ahead of competitors. You will develop high-performance algorithms, test, and implement them in scalable, production-ready code.

Potential projects include:

• Technical improvements to the product recommendation engine and its APIs.
• Using machine learning models to predict user affinity towards certain product categories or brands.
• Enhancing existing models through feature and model engineering, offline evaluation, and online testing.
• Extracting product attributes from advertiser information.
• Research on AI fairness in advertising, including studying platform behavior and proposing fixes.

Who You Are:

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

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