Applied Researcher 2
ebay
San Jose
hace 2 días

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.

Job Responsibilities

  • Seek scientifically valid solutions that deliver real value to eBay customers
  • Build machine learning models and data pipelines to deliver insightful yet practical solutions
  • Work with multiple teams to help promote standard scientific methodologies and processes in your field
  • Present key technical and novel research work in public forums and conferences
  • Basic Qualifications

  • MS or PhD in Computer Science, Statistics, Mathematics, or equivalent
  • 1-3 years (with PhD) or 3-5 years (with MS) of industrial experience in a related field
  • 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
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