Applied Researcher 1 - Search Ranking

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 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

The base pay range for this position is expected in the range below:

$142,400 - $190,100

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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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, 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 eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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