Machine Learning Development Lead - Recommender System

Paris, France
Engineering - Software Development
Permanent
Who we are
 
At Criteo, we connect 1.5 billion active shoppers with the things they need and love. Our technology takes an algorithmic approach to predict what user we show an ad to, when, and for what products. Our dataset is about 50 petabytes in Hadoop (more than 120 TB extra per day) and we take less than 10ms to respond to an ad request. This is truly big data and machine learning without the buzzwords. If scale and complexity excite you, join us. 

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 will do

    • As the Lead of a small engineering team, your main role will be to design and build robust recommender systems using Spark and Hadoop in a fast-paced environment, while collaborating with other teams and influence the roadmap by working closely with program managers.
    • You will gather and analyze data, identify key prediction/classification problems, devise solutions, build prototypes, and stay current on published state-of-the-art algorithms
    • You will develop high-performance algorithms for precision targeting, test and implement the algorithms in scalable, product-ready code.
    • You will also in charge of investigating new academic and industrial data mining, machine learning and modeling techniques to apply to our specific business cases

Who you are

    • Master degree or PhD in Machine Learning or a related field, with a previous major in Computer Science
    • You have a solid development and implementation experience with high-level languages, such as Java, Scala, C++ or C#.
    • You are skilled in sourcing, cleaning, manipulating and analyzing large volumes of data, ideally in a Hadoop or Spark programming environment. An experience on a recommender system is a plus.
    • You have experience with balancing a hands-on engineering role while managing teams of 5-7 engineers.
    • You are able to propose, conduct and report results of original research, plus collaborative research with publications
    • You have good communication skills both written and spoken in English.

What we offer

    • Competitive compensation package
    • 35 annual holidays days (25 + 10 RTT)
    • Health insurance
    • Personalized relocation package if moving from abroad
    • Catered lunch and breakfast
    • Private nursery
    • Discounted transport and sports activities
    • Maternity and paternity leave
    • 2 conferences per year of your choice (1 International + 1 national)
    • Internal mobility programs
    • Tailored educational resources (Courseras, MOOC, Internal trainings ...)
    • Annual cross teams hackathon
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

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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, feel a sense of belonging, and are treated with respect and dignity.

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