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Criteo

Performance-based, data-driven digital advertising solutions

Machine Learning Engineer Intern

Applied Machine LearningConfirmed live in the last 24 hours
Internship

About the Job

Requirements

  • Be in the last year of a BSc or MSc degree in a quantitative field, such as Engineering, Mathematics, Statistics, or Computer Science.
  • Have experience with traditional and modern statistical learning techniques and be proficient at processing data.
  • Have implementation experience with high-level languages such as Python, Scala, Java, or C++.
  • Be able to communicate in English.

Responsibilities

  • Work closely with a mentor to drive a project, design solutions, and ensure best practices are applied.
  • Identify key problems, devise solutions, build prototypes, and stay current on published state-of-the-art algorithms.
  • Gather and mine large data sets to produce understandable and actionable insights.
  • Develop high-performance algorithms and test and implement them in scalable, product-ready code.
  • Work on technical improvements to the product recommendation engine and its APIs.
  • Use machine learning models to predict user affinity for product categories or brands.
  • Improve production models through feature and model engineering, offline evaluation, and online testing.
  • Extract product attributes from information provided by advertisers.
  • Contribute to studies of fairness in AI-driven advertising, including studying platform behavior and proposing and implementing fixes.

About the Company

Criteo

Performance-based, data-driven digital advertising solutions

Criteo is a global technology company that provides digital advertising solutions for e-commerce brands, publishers, and advertisers. It uses data-driven, personalized advertising to help clients acquire customers, better target audiences, and promote apps. Its products rely on large-scale data analysis and sophisticated algorithms to serve highly relevant ads, improving engagement and conversion rates. The company operates on a performance-based model, earning revenue based on the success of campaigns (such as clicks, conversions, or sales), which aligns its interests with those of clients. Criteo differentiates itself through its global reach (affecting a large portion of internet users), its focus on privacy and data security, and its integrated teams (Product, R&D, Sales Operations, Global Services) that work to drive client results. The goal is to help clients achieve significant advertising outcomes by delivering targeted, data-driven campaigns at scale.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Paris, France
Founded
2005

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