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Machine Learning Engineer in Paris

Criteo

Workplace
Onsite
Hours
Full-Time
Internship
No
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Job Description

Who we are
 
At Criteo, we connect 1.4 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 45 petabytes in Hadoop (more than 90 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)
You will also build and improve prediction models for ad targeting; proving the business value of the changes and deploy them to production.

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?

Are you interested in tackling such problems in an environment where your algorithms are deployed by a
team that sits next to you?

What you will do?

- Gather and analyze data, identify key prediction/classification problems, devise solutions and build prototypes

- Contribute to the exploration and creation of new scientific understanding

- Initiate and propose unique and promising modeling projects, develop new and innovative algorithms and technologies, pursuing patents where appropriate

- Stay current on published state-of-the-art algorithms and competing technologies

- Maintain world-class academic credentials through publications, presentations, external collaborations and service to the research community

- Develop high-performance algorithms for precision targeting, test and implement the algorithms in scalable, product-ready code

- Research and investigate academic and industrial data mining, machine learning and modeling techniques to apply to our specific business cases

- Interact with other teams to define interfaces and understand and resolve dependencies

- Participate in academic conferences and publish research papers


Strong candidates qualifications:

- Master degree or PhD in Statistics, Machine Learning or a related field, with a previous major in Computer Science

- Experience with traditional as well as modern statistical learning techniques, including: Support Vector Machines; Regularization Techniques; Boosting, Random Forests, and other Ensemble Methods

- Strong implementation experience with high-level languages, such as R, Python, Perl, Ruby, Scala or similar scripting languages

- Familiarity with Linux/Unix/Shell environments

- Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data

- Experience with end-to-end modeling projects emerging from research efforts

- Excellent academic or industrial track record of proposing, conducting and reporting results of original research, plus collaborative research with publications

- Strong communication skills both written and oral

- Knowledge of Hadoop programming environments (e.g. Pig, Hive)

 

About Criteo

  • Ad Tech

  • Public, IPO 2013

  •  Paris, France

  • 1000-5000

  • 2005

Criteo is a digital performance marketing company.

Measuring return on post-click sales, Criteo makes ROI transparent and easy to measure. Criteo has 1,700+ employees in 27 offices across the Americas, Europe and Asia-Pacific, serving 9,250+ advertisers worldwide and direct relationships with 11,000+ publishers. 

Unlike the vast majority of the market, Criteo claims it uses a transparent cost-per-click model and measures value purely on post-click sales. This demanding model is supported by sophisticated predictive technology. It processes a vast amount of rich purchase-intent data in real-time to identify buyers and deliver dynamically-created ads which are personalized for each consumer. 



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