Senior Machine Learning Engineer

Adtechtalent; France; Hybride; EUR 90 000 - 150 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Career development

Health and wellness support

Inclusive culture

Competitive salary with performance**

Equity potential

Performance rewards

Résumé du poste

Criteo AI Lab is seeking a Senior Machine Learning Engineer to design and deploy cutting-edge models for prediction, optimization, and recommendation in a hybrid Paris/Grenoble setting.

You will transform research into scalable production systems, work with large datasets, and collaborate across teams to push technical excellence and innovation.

Qualifications

• strong foundations in ML, deep learning, statistics or applied math.
• experience with deep learning models in production.
• familiarity with transformers and generative AI.
• proficiency in Python and PyTorch.
• experience with large-scale datasets and distributed training.
• strong experimental mindset.
• collaboration skills.

Responsabilités

• designing and developing novel machine learning models for prediction, optimization, and recommendation
• transforming research into production systems at scale
• collaborating with cross-functional teams
• conducting offline and online experiments
• contributing to technical excellence

Connaissances

ML foundations

Deep learning

Statistics / Applied math

Production DL models

Python

PyTorch

Distributed training

Experimentation

Collaboration

Outils

Python

PyTorch

Distributed training

GPU computing

MLOps

A/B testing

Description du poste

Senior Machine Learning Engineer role at Criteo AI Lab.

Responsibilities

• designing and developing novel machine learning models for prediction, optimization, and recommendation
• transforming research into production systems at scale
• collaborating with cross-functional teams
• conducting offline and online experiments
• contributing to technical excellence

Requirements

• strong foundations in ML, deep learning, statistics or applied math
• experience with deep learning models in production
• familiarity with transformers and generative AI
• proficiency in Python and PyTorch
• experience with large-scale datasets and distributed training
• strong experimental mindset
• collaboration skills

Tech stack

• Python
• PyTorch
• distributed training
• GPU computing
• MLOps
• A/B testing

Benefits

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

Locations

• Paris and Grenoble, France.