ML Engineer Intern - Hybrid, Mentorship & Equity Options

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

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