Machine Learning Engineer Intern

Requirements

• 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

What the job involves

• Projects you could work on:
• You will develop high-performance algorithms, test and implement the algorithms in scalable, product-ready code
• 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.)
• 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