Machine Learning Engineer Intern

Criteo; Grenoble; Hybride; EUR 13 000 - 27 000; Temps partiel

Avantages offerts par ce poste

Hybrid work model

Career development

Health support

Inclusive environment

Salary with rewards

Potential equity

Résumé du poste

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

Responsabilités

• 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

Connaissances

Statistical learning

Data processing

English communication

Formation

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

Outils

Python

Scala

Java

C

Description du poste

Machine Learning Engineer Intern role at Criteo.

Work closely with a mentor to drive projects, apply best practices, and build production-quality code impacting millions of users.

• 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

Requirements:

• Final year Bsc/Msc in Engineering, Mathematics, Statistics, or Computer Science
• Experience with statistical learning techniques
• Proficiency in data processing
• Programming skills in Python, Scala, Java, or C*
• Good English communication

Benefits:

• Hybrid work model
• Learning and career development programs
• Health and wellness support
• Inclusive team environment
• Competitive salary with performance rewards
• Potential equity

Locations:

Paris and Grenoble, France.