Research Intern

Criteo; Grenoble; Hybride; EUR 16 000 - 23 000; Plein temps

Avantages offerts par ce poste

hybrid work model

career development

health and wellness support

inclusive team environment

competitive salary with performance-re

potential equity

Résumé du poste

Criteo AI Lab is seeking a Research Intern in France to advance computational advertising innovations. You will identify research opportunities, pursue patents and publications, and develop high-performance ML algorithms.

You’ll contribute to product direction while maintaining rigorous academic credentials and exploring generative modelling topics. The role is hybrid, based in Paris and Grenoble, with strong Python and ML framework requirements and excellent English communication skills.

Qualifications

• Must be in the final year of MSc in a quantitative field.
• Strong background in machine learning and statistics.
• Proficiency in Python and DL frameworks (PyTorch or JAX).

Responsabilités

• Identify research opportunities in computational advertising.
• Pursue patents and publications.
• Maintain and develop academic credentials.
• Develop high-performance algorithms.
• Contribute to product direction with research insights.

Connaissances

Machine Learning

Statistics

Python programming

Deep Learning

Formation

MSc in a quantitative field (final year)

Outils

PyTorch

JAX

Description du poste

Research Intern position at Criteo AI Lab focusing on computational advertising innovations. The role involves identifying research opportunities, pursuing patents/publications, maintaining academic credentials, developing high-performance algorithms, and contributing to product direction. Research topics include generative video modelling, foundation models for user behavior prediction, bias in generative models, and discrete generative models based on flow matching. Candidates must be in the last year of MSc in a quantitative field, have strong machine learning and statistics background, familiarity with deep learning architectures and generative modelling, programming experience in Python and deep learning frameworks (PyTorch or JAX), and good English communication skills. The internship is hybrid based in Paris and Grenoble, France.

Benefits

• hybrid work model
• career development
• health and wellness support
• inclusive team environment
• competitive salary with performance rewards
• potential equity