Senior Machine Learning Engineer

Criteo; Grenoble; Hybride; EUR 70 000 - 110 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Equity potential

Family-friendly policies

Résumé du poste

Criteo AI Lab invites you to join a team of researchers and engineers turning cutting-edge ideas into production systems used by millions daily. You will work at the intersection of scientific innovation and scalable machine learning.

As a Machine Learning Engineer, you will design and deploy novel ML approaches, collaborate with researchers, software engineers, product managers, and data scientists, and run rigorous offline and online evaluations to improve the advertising platform.

Qualifications

• Strong foundations in ML, DL, statistics or applied math.
• Experience building and evaluating deep learning models in production.
• Familiar with Transformers, representation learning, or generative AI.
• Proficiency in Python and PyTorch.
• Experience with large-scale datasets and distributed training.
• Familiar with A/B testing and data pipelines; PySpark a plus.

Responsabilités

• Design, develop, and evaluate novel ML approaches for prediction, optimization and recommendation.
• Transform research ideas into production systems handling petabytes of data.
• Collaborate with researchers, software engineers, product managers, and data scientists.
• Experiment, learn, and iterate via offline and online A/B tests.
• Share knowledge and shape the future direction of AI capabilities.

Connaissances

Machine Learning

Deep Learning

Statistics

Python

PyTorch

AB testing

Distributed training

Experimentation

Outils

PySpark

Description du poste

What You’ll Do:

Shape the Future of AI-Powered Advertising

At Criteo, AI is not a side project, it is at the heart of everything we build.

Within the Criteo AI Lab, you’ll join a team of researchers, machine learning engineers, and scientists who turn cutting-edge ideas into real-world products used by millions of people every day. We explore new approaches, challenge industry assumptions, and bring innovations from research papers to production systems operating at global scale.

This is a unique opportunity to work at the intersection of scientific innovation, large-scale machine learning, and product impact.

What you’ll do

As a Machine Learning Engineer, you’ll help design the next generation of AI technologies powering Criteo’s advertising platform.

You will:

• Design, develop, and evaluate novel machine learning approaches to solve complex prediction, optimization, and recommendation problems.
• Transform research ideas into robust production systems capable of operating on petabytes of data and serving real-time decisions at massive scale.
• Partner closely with researchers, software engineers, product managers, and data scientists to bring innovative solutions from concept to impact.
• Experiment, learn, and iterate through rigorous offline evaluation and large-scale online A/B testing.
• Contribute to a culture of technical excellence by sharing knowledge, challenging existing approaches, and helping shape the future direction of our AI capabilities.

Why this role is unique?

You’ll have the opportunity to:

• Influence products used across the global digital advertising ecosystem.
• See your ideas tested on billions of daily interactions.
• Work with large-scale datasets and modern machine learning technologies.
• Collaborate with internationally recognized experts in AI, machine learning, and distributed systems.
• Balance scientific exploration with tangible business impact.

Who You Are:

• Strong foundations in Machine Learning, Deep Learning, Statistics, or Applied Mathematics.
• Experience building, training, and evaluating deep learning models in production environments.
• Familiarity with modern approaches such as Transformers, representation learning, recommendation systems, sequence modeling, or generative AI.
• Proficiency in Python and machine learning frameworks such as PyTorch.
• Knowledge about AB testing, building data pipelines and a big bonus if you’re familiar with PySpark/Spark.
• Experience working with large-scale datasets and distributed training environments.
• A strong experimental mindset, combining scientific rigor with a focus on measurable outcomes.
• The ability to collaborate effectively across research and engineering teams.

Our Technical stack :

At Criteo AI Lab, you’ll work on large-scale recommendation and prediction systems tackling challenges in personalization, ranking, optimization, and user understanding.

Our teams leverage:

• Python and PyTorch for model development
• Large-scale distributed training infrastructure and GPU computing
• Petabyte-scale data processing platforms
• Advanced online experimentation and A/B testing frameworks
• Real-time inference systems operating under strict latency constraints
• Modern MLOps practices to bring innovations from research to production

What makes this team unique is the opportunity to bridge research and production, transforming cutting-edge AI innovations into products serving billions of advertising opportunities every day.

We acknowledge that many candidates may not meet every single role requirement listed above. If your experience looks a little different from our requirements but you believe that you can still bring value to the role, we’d love to see your application!

Who We Are:

We’re Criteo, the Commerce Intelligence Platform. Criteo helps businesses turn shopper signals into commerce outcomes while delivering more relevant experiences for shoppers. We use proprietary commerce intelligence and AI decisioning to drive relevance for shoppers and performance for businesses.

At Criteo, our culture is as unique as it is diverse. From our offices across the globe or from the comfort of home, our 3,600 Criteos collaborate together to build an open, impactful, and forward-thinking environment.

We foster a workplace where everyone is valued, and employment decisions are based solely on skills, qualifications, and business needs—never on non-job-related factors or legally protected characteristics.

What We Offer:

Ways of working – Our hybrid model blends home with in-office experiences, making space for both.

Grow with us – Learning, mentorship & career development programs.

Your wellbeing matters – Health benefits, wellness perks & mental health support.

A team that cares – Diverse, inclusive, and globally connected.

Fair pay & perks – Attractive salary, with performance-based rewards and family-friendly policies, plus the potential for equity depending on role and level.

Additional benefits may vary depending on the country where you work and the nature of your employment with Criteo.