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Senior Machine Learning Engineer - Causality

Paris

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Apply at Criteo

What you’ll work on

Full posting
  • 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 🏗️

From the employer’s posting
🧠 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 🎯
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 🏗️
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 🔬

What you’ll bring

All qualifications

Core experience

  • Experience with both classical and state-of-the-art machine learning techniques is a strong plus 🤖
Qualification wording
Experience with both classical and state-of-the-art machine learning techniques is a strong plus 🤖
Education & alternatives
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

Tools in this posting

  • Java
  • Python
  • C++
  • Hadoop
Source — Tool mentions in context
- 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 📈
- 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 🤖

Benefits in the posting

Full benefits wording
  • 🏢 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.

From the employer’s posting.

About Criteo

We’re Criteo, the Commerce Intelligence Platform.

In the employer’s words · Read in context

Job description

View original posting ↗

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 – 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.  

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on criteo.wd3.myworkdayjobs.com. The employer’s form will show what is required.

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Source & posting history

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Location & working pattern

Paris

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.
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Status in our records
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First seen by us
Jun 9, 2026
Recorded sightings
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Last seen by us
Oct 9, 2026

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