Senior Engineer for Recommendation Systems

Criteo is a global performance marketing technology company that enables e-commerce companies to leverage large volumes of data to efficiently and effectively engage and convert their customers.

• Disrupt the state of the art of recommender systems
• Architect, design, and build, next-generation algorithms for our recommendation engine.
• Contribute to our strong scientific and engineering culture, with a passion for quality and perfection

• 10 years of programming experience.
• Good understanding of state-of-the-art supervised and unsupervised learning methods such as logistic regression, factorization machines and matrix decomposition techniques and implementing them in a production environment.
• Experience with taking initiative and ownership, exhibiting technical leadership and mentoring skills.
• Experience with developing and extending large-scale and complex recommender systems.
• A rock-solid foundation in Computer Science (data structures, algorithms, software design).
• A passion for shipping quality code.
• Experience with Big Data and technologies such as Hadoop, MapReduce, Spark, Hive.

Preferred/Nice-To-Have Experience:

• Up-to-date on the state-of-the-art topics related to Machine Learning, Recommendation Systems (NIPS, KDD, RecSys...etc) : Have you ever published or given a talk?
• Experience starting new products at the ground floor.
• Working in a very fast-paced and continuously evolving environment.
• Have you ever designed your own high-performance, large-scale, recommender system ?
• Experience in working in a multicultural environment.