17 hours ago
Paris, FranceIntern
Responsibilities
- Identify key problems, devise solutions, build prototypes, and research state-of-the-art algorithms.
- Gather and mine large datasets to produce actionable insights.
- Develop, test, and implement high-performance algorithms in scalable, product-ready code.
- Improve recommendation engines, APIs, machine learning models, feature and model engineering, offline evaluation, and online testing.
- Extract product attributes from advertiser information.
- Study fairness in AI-driven advertising and propose and implement fixes.
Requirements
- Currently in the last year of a BSc or MSc degree in a quantitative field such as Engineering, Mathematics, Statistics, or Computer Science.
- Experience with traditional and modern statistical learning techniques.
- Proficiency in processing data.
- Implementation experience with high-level languages such as Python, Scala, Java, or C*.
- Good communication skills in English.
Benefits
- Hybrid work model combining home and in-office experiences.
- Learning, mentorship, and career development programs.
- Health benefits, wellness perks, and mental health support.
- Diverse, inclusive, and globally connected team environment.
- Attractive salary, performance-based rewards, family-friendly policies, and potential equity depending on role and level.
- Benefits may vary by country and employment type.
Categories
About Criteo
Criteo builds a commerce media and advertising platform used by brands, retailers, agencies, and publishers to target, retarget, and measure ads across the open internet. Its products include performance advertising, retail media, and recommendation powered by large-scale AI, sold on CPC/CPM models via self-serve and partner integrations. Founded in 2005 and headquartered in Paris, Criteo is a public company listed on NASDAQ (CRTO) with global operations.