Research and implement machine learning models for prediction, personalization and recommendation
Drive analysis and insights to the impact of newly developed features
Engineer and build large scale data crunching processes
Collaborate with database architects, other software engineers, and QA and operations teams to deliver real time distributed recommendation serving platforms
* Basic Qualifications
BSC/MSC in computer science/engineering from a leading institute
Relevant science background in the areas of machine learning/information retrieval/recommender engines
Hands on experience with hadoop. Use of cascading and Scalding - big advantage.
Hands on experience with machine learning/information retrieval libraries and platforms (examples - Matlab, R, Mahout, LibLinear, LibSVM, Solr, Elastic Search)
Strong backend engineering background, ideally using Java and/or Scala
Motivated, self-driven, comfortable working in agile development environment· Versed in agile development coding practices (TDD, CI) and supporting technologies (GIT, Jenkins)
is a Subsidiary of eBay.
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