Applied Researcher Manager (d/f/m)

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

About our team:

The Search Ranking and Monetization team is the biggest contributor to eBay’s revenue. We innovate at the heart of ecommerce search and advertising, with the ambitious goal of redefining ecommerce. 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 motivated applied researchers to join us and build the next generation of online advertising and search ranking products in eBay search. If you enjoy the scale and technical complexity of advertising and want to be at the frontier of applied research in advertising in e-commerce, join now.

• Seek scientific solutions to highly ambiguous problems by crafting a technical vision and building consensus across teams

• Think through complex research problems, simplify where necessary, invent when needed, to drive a principled vision from thought to reality

• Drive technical vision, promote standard methodologies, and establish processes in your field across teams

• Present key technical and novel research work in public forums and conferences

• Manage team of applied researchers and software engineers
  

• MS or PhD in Computer Science, Statistics, Mathematics, or equivalent

• 3-5 years (with PhD) or 5-8 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 or C/C++

• 2 or more related publications in quality conferences or journals
  
  

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