At e Bay, 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.

The Search Ranking and Monetization team is the biggest contributor to e Bay’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 e Bay. 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 online advertising and search ranking products in e Bay 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.

What You Will Accomplish

• 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
• Mentor junior team members

What You Will Bring

• MS or PhD in Computer Science, Statistics, Mathematics, or equivalent
• 4-8 years (with PhD) or 8-11 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

Benefits: Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, e Bay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.

Here at e Bay, we love creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies. So, being diverse and inclusive isn’t just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel e Bay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work.

To learn about eBay’s Diversity & Inclusion click here: https://www.ebayinc.com/our-company/diversity-inclusion/

Additional Details

e Bay 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 have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about e Bay's commitment to ensuring digital accessibility for people with disabilities.

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