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Détail de l'offre: Software Engineer in Machine Learning

  • Société: Criteo
  • Secteur d'Activité: Informatique, Electronique et Télécom
  • Région du poste: France: Ile de France
  • Type de poste: Software Engineer in Machine Learning
  • Contrat: Sans Précision
  • Formation:
  • Lieu de travail: Paris
  • Date d'embauche: NC
  • Salaire: N/A
  • Référence: NC

Description du Poste:

Who we are At Criteo, we connect 1.2 billion active shoppers with the things they need and love. Our technology takes an algorithmic approach to determining what user we show an ad to, when, and for what products. Our dataset is about 40 petabytes in Hadoop (more than 30 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. Your mission :We are searching for great machine learning engineers to join the team responsible for:Extending Criteo's large scale distributed machine learning library (e.g., implementing new distributed and scalable machine learning algorithms, improving their performance)Building and improving prediction models for ad targeting; proving the business value of the changes and deploying them to productionGathering and analyzing data, performing statistical modelingYou'll have the opportunity to work on highly challenging problems with both engineering and scientific aspects; for example:Click prediction : How do you accurately predict in less than a millisecond if the user will click on an ad? Thankfully, you have billions of datapoints to help you. Offline testing : You can always compute the classification error on a model predicting the click probability. But will it really correlate with the online performance of this model?  Explore / exploit : It's easy, UCB and Thomson sampling have low regret. But what happens when new products come and go and when each ad displayed changes the reward of each arm?Optimization : Stochastic gradient descent is great when you have lots of data. But what do you do when all data are not equal and when you must distribute the learning over thousands of nodes?Criteo R&D CultureEmpowerment – We believe in hiring the best engineers in the industry and then letting them get on with what they do best – designing, coding and releasing state of the art software.Mobility – In our Voyager program our engineers get to pick which team they want to work on for 2-4 weeks, boosting collaboration, networking and maybe even leading to switching teams.Agility - We work in a fast pace environment where we build and release stuff frequently to deliver value soon and adapt to changes quickly.Variety – We have many ways to get your code to production including our Hackathon,  10% projects, Voyager and more.Multicultural – We have engineers from all over the world for you to interact and exchange ideas with.Our culture keeps evolving, and you will be expected to contribute actively with new ideas to complement and enhance the existing programs that include frictionless internal mobility, 10% time, mentoring, technical talks, hackathons, conferences, etc.We recognize that engineering culture is key for building a world-class engineering organization. Our core values are getting stuff done, collaboration and respect, code quality, striving for excellence, and having fun at what we do.Do you want to know more about life in the R&D?Youtube:  R&D Criteo @ EuropeOur blog: http://www.criteolabs.comTwitter: @CriteoEng#LI-CC1At 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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