ML Engineer Intern: Build Production-Ready Models

Criteo; Paris; Hybrid; EUR 13,000 - 20,000; Full time

Benefits offered by this job

Hybrid work model

Mentorship program

Career development opportunities

Health benefits

Job summary

Criteo seeks a driven student in their final year of BSc/MSc in a quantitative field to work on cutting‑edge ML projects. You’ll collaborate with a mentor, design and ship high‑quality code, and turn large datasets into actionable insights that influence product decisions and performance.

You’ll be exposed to state‑of‑the‑art algorithms, contribute to recommendations models, and participate in workshops and knowledge sharing. A hybrid work model and strong English communication are expected.

Qualifications

• Last year of BSc/MSc in a quantitative field (Engineering, Mathematics, Statistics, Computer Science).
• Experience with statistical learning techniques and processing data.
• Proficiency in Python, Scala, Java or C++.
• Strong communication in English.

Responsibilities

• Collaborate with your mentor to drive your project and apply best practices.
• Develop high-performance, scalable, product-ready code and algorithms.
• Analyze data to turn it into actionable insights for business impact.
• Participate in knowledge sharing sessions and contribute to model improvements.

Skills

Python

Scala

Java

C++

Education

Last year of BSc/MSc in quantitative field

Tools

Job description

Criteo seeks a driven student in their final year of BSc/MSc in a quantitative field to work on cutting‑edge ML projects. You’ll collaborate with a mentor, design and ship high‑quality code, and turn large datasets into actionable insights that influence product decisions and performance.

You’ll be exposed to state‑of‑the‑art algorithms, contribute to recommendations models, and participate in workshops and knowledge sharing. A hybrid work model and strong English communication are expected.