Looking to make an impact on the future of global commerce? Do you want to shape how millions of people buy, sell, and engage around the world?
The Search Content, Item and Inventory Understanding team is part of the biggest organization that drives eBay’s world-wide impact.
We innovate at the heart of ecommerce search, with the ambitious goal of redefining ecommerce search. We craft optimized experiences for buyers and sellers on eBay.
We innovate rapidly in this space and there is no shortage of new challenges for motivated individuals.
We are looking for stellar applied researchers to join us and build the next generation of content understanding technologies in eBay search.
If you enjoy the scale and technical complexity of NLP problems and want to be at the frontier of applied research in information retrieval in e-commerce, join now.
Seek scientific solutions to multiple complex and ambiguous problems by crafting a technical vision and driving consensus across teams
Think through complex research problems, simplify where necessary, invent when needed, to drive a principled vision from thought to reality
Work through others as a technical leader to drive vision, define and standardize methodologies, establish processes, and operationalize machine learning solutions across teams and projects
Present key technical and novel research work in public forums and conferences
Mentor junior team members
MS or PhD in Computer Science, Statistics, Mathematics, or equivalent
5-8 years (with PhD) or 8-12 years (with MS) of industrial experience in a related field
Strong Industrial experience with one or more of the following : classification, regression, recommendation systems, targeting systems, ranking systems, fraud detection, online advertising, or related
Experience in big data processing, e.g. Hadoop, SQL, Spark
Experience with Python or R, and Java or Scala.
2 or more related publications in quality conferences or journals