Senior Machine Learning Engineer - Causality

Criteo; Paris; À distance; EUR 60 000 - 110 000; Plein temps

Avantages offerts par ce poste

Health benefits

Mentorship & career development

Diversity & global team

Equity potential

Flexible work options

Résumé du poste

Criteo is seeking an experienced ML Engineer/Data Scientist to join global R&D, collaborating with Data, Product, and Engineering teams. You will build models to measure causal impact and influence real-time bidding at scale.

The role emphasizes experimentation, large‑scale ML systems, and cross‑functional collaboration in a multicultural, global environment.

Qualifications

• Master’s degree or PhD in ML, CS, or related quantitative field.
• Bold hands-on experience with Python, Java or C++ in ML projects.
• Experience handling large-scale datasets and ML model production.

Responsabilités

• Analyze causal impact of campaigns using experiments and data.
• Develop ML models to predict impact and influence bidding strategies.
• Design and build multi-stage data pipelines processing terabytes daily.
• Contribute to A/B test analysis and productionizing research.
• Collaborate with Data, Product, and Engineering teams.
• Foster a strong scientific and engineering culture.

Connaissances

Python

Java

C++

Big data

English fluency

Formation

Master’s or PhD in ML/CS or related field

Outils

Hadoop

Spark

SQL

Description du poste

What You'll Do:

At Criteo, we’re not just crunching numbers — we’re redefining how brands connect with their audiences.

By joining the AI for Performance group, you’ll become part of a global R&D organization of 1,000+ engineers, while working day to day in a small Product Engineering team (5–7 people). You’ll sit at the intersection of machine learning, data, and product, helping us measure and predict the causal impact of our advertising, and directly influence how our products perform at scale.

If you’re excited by incrementality, experimentation, and large-scale ML systems, this role is for you.

Your role at a glance :

• Analyze the causal impact of Criteo’s advertising campaigns using experiments, third-party data, and advanced measurement techniques

• Develop machine learning models to predict causal impact and influence our bidding strategies

• Design and build multi-stage data pipelines, processing terabytes of data every day

• Contribute to tooling for A/B test analysis, ensuring accurate measurement of campaign and product performance

• Collaborate closely with Data, Product, and Engineering teams to bring research into production

• Actively contribute to a strong scientific and engineering culture, sharing best practices and new ideas

Who You Are:

• You hold a Master’s degree or PhD in Machine Learning, Computer Science, or a related quantitative field

• You possess at least 5 years of experience as a ML Engineer or Data Scientist/ Researcher

• You have hands‑on development experience in at least one mainstream programming language (Python, Java, C++, etc.)

• You are skilled in sourcing, cleaning, manipulating, and analyzing large-scale datasets, ideally in a Hadoop-based environment

• Experience with both classical and state-of-the-art machine learning techniques is a strong plus

• You are fluent in English and comfortable working in international, multicultural teams

• You are curious, rigorous, and motivated by problems where science, product, and business impact meet

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 –

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.