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.
View our accessibility info
eBay Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at email@example.com. We will make every effort to respond to your request for disability assistance as soon as possible.
For more information see:
EEO is the Law Poster
EEO is the Law Poster Supplement
eBay is an online auction and e-commerce marketplace, enabling people and businesses to buy and sell goods and services.