Machine Learning Engineer Intern

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.