Software Engineer in Machine Learning

Description de l'offre

At Criteo we face some of the most challenging, but interesting problems in the IT industry. We work at a scale of speed, performance and complexity that few others in the industry can compete with. Our data is not big it's absolutely HUGE. We have about 40 petabytes in our Hadoop storage (more than 30 TB extra per day), we take less than 10ms to respond to an ad request and we deliver billions of ads per day.

To help us solve these challenges, Criteo is looking for the best of the best in terms of engineering talent within our cool and geeky environment!

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 production
·  Gathering and analyzing data, performing statistical modeling

You'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 Culture

·  Empowerment – 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.

Are you up to the challenge?

About Criteo [CRTO]

Criteo delivers personalized performance marketing at an extensive scale. Measuring return on post-click sales, Criteo makes ROI transparent and easy to measure. Criteo has over 2,200 employees in 31 offices across the Americas, Europe and Asia-Pacific, serves over 13,000 advertisers worldwide and maintains direct relationships with over 17,500 publishers.

The 580+ engineers @Criteo are building the next generation digital advertising technologies that allow us to manage billions of ad impressions every day. We're working in a very fast-paced release cycle and are adding new capabilities weekly and even daily.

A few figures:

·  15 datacenters (8 with computing capacity + 7 dedicated to network connectivity) across US, EU, APAC
·  More than 15K servers, running a mix of Linux and Windows
·  One of the largest Hadoop clusters in Europe with close to 40PB of storage and 30.000 cores –
·  30B HTTP requests and close to 3B unique banners displayed per day
·  Close to 1M HTTP requests per second handled during peak times
·  40Gbps of bandwidth, half of it through peering exchanges

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 @ Europe

Our blog: http://www.criteolabs.com

Twitter: @CriteoEng