Machine Learning Internship

Machine Learning Internship

Criteo

Internship

Paris (75)

Not Specified

English only

Other

29 Jul 2020

Who we are
Criteo (NASDAQ: CRTO) is the global technology company powering the world’s marketers with trusted and impactful advertising. 2,800 Criteo team members partner with over 20,000 customers and thousands of publishers around the globe to deliver effective advertising across all channels, by applying advanced machine learning to unparalleled data sets. Criteo empowers companies of all sizes with the technology they need to better know and serve their customers.

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 prediction/classification 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 for precision targeting, test and implement the algorithms in scalable, product-ready code.

What you will be working on
Evaluate the impact of using a CNN trained on banner image data as compared to logistic regression based on fine tuned banner metadata features.
You will be reponsible of creating the architecture of a CNN used to predict the best looking layout of a banner, and compare this approach to a more classical logistic regression methodology.
You will be able to train and test your model on a large real world dataset, and if the results are promising, to test this model on the production system.

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.

Want to Know More?
What does it feel like to be part of something big? Get a snapshot
Get the story directly from our R&D engineers, check our Medium R&D blog
Interested in discovering your Criteo community first? Let’s meet
At Criteo, we dare to be different. We believe that diversity fuels innovation and creates an energy that can be seen and felt all over Criteo. We champion different perspectives and are committed to creating a workplace where all Criteos are heard and feel a sense of belonging.
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.

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