Applied Researcher (f/m/d)

At eBay, we’re more than a global e‑commerce 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 e‑commerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and every day people can bring their unique selves to work. 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.

We need strong engineers to join us and build the next generation of search products in eBay search. If you enjoy the scale and technical complexity of advertising and want to work closely with researchers while driving the highest standards on system quality, join now. Help us redefine advertising at eBay.

About the team and the role:

The Search Ranking and Monetization Team is the biggest contributor to eBay’s advertising program. We innovate at the heart of e‑commerce search and advertising, with the ambitious goal of redefining e‑commerce advertising. 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 online advertising 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. Help us redefine advertising at eBay.

What you will accomplish:

• 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

What you will bring:

• MS or PhD in Computer Science, Statistics, Mathematics, or equivalent
• 0‑1 years (with PhD) or 1‑3 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 or C/C++
• 2 or more related publications in quality conferences or journals

eBay 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, disability, or other legally protected status. If you have a need that requires accommodation, please contact us at We will make every effort to respond to your request for accommodation as soon as possible.