The Criteo AI Lab is pioneering innovations in computational advertising. As the center of scientific excellence in the company, we deliver both fundamental and applied scientific leadership through published research, product innovations and new technologies powering the company's products.
The Criteo AI Lab operates within the spectrum of two main roles: applied research and fundamental research. In the context of academic contributions, Research Scientists at Criteo are encouraged and fully-supported to publish their works at international conferences, collaborate with academic partners, file for patents, release datasets and help establish the state-of-art in computational advertising. Part of their role is to
* Identify new research opportunities at Criteo and lead the exploration of these ideas and pursue patents/publications where appropriate. Current interests are related to generative AI, foundation models, Generative Information Retrieval, trustworthiness in Generative Modelling, alignementreasoning and planning in LLM-based agents.
* Maintain world-class academic credentials through publications, presentations, external collaborations and service to the research community.
* Develop high-performance algorithms, test and implement the algorithms in scalable and product-ready code.
* Understand and shape the product direction by contributing innovative ideas.
Academic Research Proposed Topics: More specifically, the current topics are open
* Generative Video Modelling with Variational state-space models
* Foundation models for user behaviour prediction
* Bias in Generative model: Sampling low-density regions
* Discrete Generative models based on Flow matching
Who You Are:- You are currently in your last year of Msc degree in a quantitative field (Engineering, Mathematics, Statistics, Computer Science) in a French school or university able to provide an internship agreement.
- Strong background in machine learning and statistics. Most positions require familiarity with deep learning architectures, such as transformers or state-space models as well as strong technical knowledge on generative modelling (GANs, Diffusion models and Flow Matching)
- Implementation experience with high-level languages, such as Python. Most positions require experience with deep learning frameworks (PyTorch or JAX).
- Good communication skills in English.
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.
🏢 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.
Skills Required
- Currently in the final year of an MSc degree in engineering, mathematics, statistics, or computer science
- Enrollment at a French school or university able to provide an internship agreement
- Strong background in machine learning and statistics
- Familiarity with deep learning architectures such as transformers or state-space models
- Strong technical knowledge of generative modeling, including GANs, diffusion models, and flow matching
- Implementation experience with high-level programming languages such as Python
- Experience with deep learning frameworks such as PyTorch or JAX
- Good communication skills in English
Criteo Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Criteo and has not been reviewed or approved by Criteo.
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Healthcare Strength — Health insurance and wellness/mental-health support are described as strong parts of the package, with high reported satisfaction for medical, dental, and vision coverage. Feedback suggests these offerings contribute meaningfully to overall benefits satisfaction.
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Retirement Support — A 401(k) with company match is highlighted positively, with mentions of a 3%–5% match being common in recent reports. Feedback suggests the retirement program is a valued component of total rewards.
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Leave & Time Off Breadth — Paid vacation, volunteer time off, and additional summer days are emphasized, and time flexibility is repeatedly praised. Feedback suggests this breadth supports work-life balance perceptions.
Criteo Insights
What We Do
Criteo is a global technology company that powers the world’s marketers and media owners with trusted and impactful advertising through our world-leading Commerce Media Platform, a suite of products that activates the world’s largest set of commerce data to drive better commerce outcomes. We help thousands of brands, publishers, and retailers reach and monetize audiences and are committed to supporting a fair and open internet that enables discovery, innovation, and choice.
