ML Engineer Intern — Hybrid, Equity Eligible, Impact

Criteo; Grenoble; Hybrid; EUR 13,000 - 27,000; Part time

Benefits offered by this job

Hybrid work model

Career development

Health support

Inclusive environment

Salary with rewards

Potential equity

Job summary

Criteo is seeking a Machine Learning Engineer Intern to work closely with a mentor on production-ready code that impacts millions of users. You will develop high-performance algorithms, mine large data sets, and contribute to improving recommendation engines.

Locations include Paris and Grenoble, France. The role offers a hybrid work model, learning and career development programs, health and wellness support, and an inclusive team environment with competitive salary and potential equity.

Qualifications

• Final year BSc/MSc in Engineering, Mathematics, Statistics, or Computer Science
• Experience with statistical learning techniques
• Proficiency in data processing
• Good English communication

Responsibilities

• Developing high-performance algorithms
• Mining large data sets
• Improving recommendation engines
• Using ML models for user affinity prediction
• Enhancing production models
• Extracting product attributes
• Contributing to AI fairness studies

Skills

Statistical learning

Data processing

English communication

Education

Final year BSc/MSc in Engineering, Mathematics, Statistics, or Computer Science

Tools

Python

Scala

Java

C

Job description

Criteo is seeking a Machine Learning Engineer Intern to work closely with a mentor on production-ready code that impacts millions of users. You will develop high-performance algorithms, mine large data sets, and contribute to improving recommendation engines.

Locations include Paris and Grenoble, France. The role offers a hybrid work model, learning and career development programs, health and wellness support, and an inclusive team environment with competitive salary and potential equity.