RESEARCH ENGINEER

We are looking to hire a rock star Research Engineer who can help build the future of personalized recommendations. You will be part of a combined data science/engineering team, which is responsible for all merchandising and personalisation algorithms for our marketplaces. You will have a chance to tackle some of the most demanding algorithmic problems,building recommendations engines that serve around a billion recommendations to 100M users per day.We are using state of the art Big Data infrastructures like hadoop (through cascading and Scalding) and Cassandra, and employ both Java and Scala to build our scalable real-time platform.We currently employ one of the largest hadoop clusters in the industry, containing thousands of nodes and tens of thousands of processing cores.

All this computing power is used to analyze over 30 Petabytes of data in order to gain better insight on how to best serve users.While we stand firmly on theoretical and mathematical roots, we see great value real world, creative and pragmatic solutions.

• Research and implement machine learning models for prediction, personalization and recommendation

• Drive analysis and insights to the impact of newly developed features

• Collaborate with database architects, other software engineers, QA and operations teams to deliver real time distributed recommendation serving platforms

Strong background in BOTH Data Science (NLP, ML, Bayesian, etc) and Engineering. Ability to both create/develop an algorithm AND deploy it.