Machine Learning Engineer Intern

Posted 4 Days Ago
Be an Early Applicant
2 Locations
In-Office
Internship
Marketing Tech
The Role
Machine Learning Engineer Interns develop and deploy scalable machine learning algorithms, improve recommendation and affinity models, process large datasets, conduct offline and online evaluations, extract product attributes, and study fairness in AI-driven advertising. They collaborate with mentors, build prototypes, write production-ready code, and contribute to knowledge-sharing activities.
Summary Generated by Built In

What You'll Do:

In a team, you will be working closely with your mentor to drive your project, design and ensure best practices are applied. You can ask questions and participate in all knowledge sharing sessions/workshops, etc. You are encouraged to actively voice your ideas whilst learning how to build and ship quality code into production which will likely affect millions of users instantly. Identify key problems, devise solutions, build prototypes, and stay current on published state-of-the-art algorithms. Gather and mine large data sets for turning them into understandable and actionable insights to ensure Criteo remains one step ahead of competitive threats. You will develop high-performance algorithms, test and implement the algorithms in scalable, product-ready code.
Projects you could work on:

  • Technical improvements in product recommendation engine and its APIs.
  • Using Machine Learning models to predict the affinity of a user with certain category of products or with a certain brand.
  • Improving the current models we have in production, which might include (amongst others) feature and model engineering, offline evaluation and online testing of the models.
  • Extracting product attributes from information provided by our advertisers.
  • Contribute to the stream of studies around the fairness of AI-driven advertisement (e.g. studying the behavior of our platform, propose and implement fixes, etc.)

Who You Are:

  • You are currently in your last year of Bsc/Msc degree in a quantitative field (Engineering, Mathematics, Statistics, Computer Science).
  • Experience with traditional and modern statistical learning techniques and you are proficient at processing data.
  • Implementation experience with high-level languages, such as Python, Scala, Java, C*.
  • 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.

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.  

Skills Required

  • Currently in the final year of a BSc or MSc degree in engineering, mathematics, statistics, computer science, or another quantitative field
  • Experience with traditional and modern statistical learning techniques
  • Proficiency in data processing
  • Implementation experience with a high-level programming language such as Python, Scala, Java, or C
  • 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.

  • 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.
  • 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.
  • 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.

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The Company
HQ: Paris
2,868 Employees
Year Founded: 2005

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.

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