Criteo

Machine Learning Engineer - Apprenticeship

Job description

Who we are

At Criteo, our culture is as unique as it is diverse. From our offices around the world or from home, our incredible team of 2,700 Criteos collaborates to develop an open and inclusive environment. We aim to create a place where people can grow and learn from each other while having a meaningful impact. We work together to achieve our goals, push boundaries, and share successes. All of this supports us in our mission to power the world’s marketers with trusted and impactful advertising.

What is it like to work in our R&D?

  • Most of all, we are creators. From designing ground-breaking products to finding unique ways to solve technical challenges at an exceptional scale, our tech teams work with state-of-the-art methodologies to shape the future of advertising.
  • The Criteo AI Lab brings together researchers, machine learning engineers, and data scientists. Our mission is to develop advertising solutions that provide value to internet users around the world. We do so by pushing state-of-the-art ML methodologies into our products to drive better performance, and act as center of Machine Learning research and engineering excellence.

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, production-ready code.

During your apprenticeship (1-3 years) and according to your choice, skills and interest, you can tackle one of the following subjects:

  • Technical improvements in the product recommendation engine and its APIs.
  • Using ML 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.
  • Using deep learning-based Natural Language Processing (NLP) techniques for web page classification and entity detection at scale.
  • 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 enrolled in school studying for a Bsc/Msc degree in a quantitative field (Engineering, Mathematics, Statistics, Computer Science).
  • Your school could provide an apprenticeship contract.
  • Experience with traditional and modern statistical learning techniques and proficiency in processing data.
  • Implementation experience with high-level languages, such as Python, Scala, Java, C#.
  • Good communication skills in English.


#LI-XD1

At Criteo, we believe the future is wide open when it includes everyone. We are committed to creating an environment where all Criteos feel a sense of belonging. We nourish our diversity by listening to all cultures within Criteo - and there are many. We are proud to be a global team and conscious that it takes people with different perspectives, thoughts and cultures to succeed. We want you to come as you are so we can succeed together.

Criteo collects your personal data for the purposes of managing Criteo's recruitment related activities. Consequently, Criteo may use your personal data in relation to the evaluation and selection of applicants. Your information will be accessible to the different Criteo entities across the world. By clicking the Apply button you expressly give your consent.

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.