Applied Researcher 3 - Search Ads at eBay | Apply at eBay

About the role

About eBay and the Search Ads Team

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.

The Search Ads 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
4-8 years (with PhD) or 8-11 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, 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

Additional Details

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.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.

Key skills/competency

Applied Research
Machine Learning
Data Pipelines
E-commerce Advertising
Classification
Regression
Recommendation Systems
Big Data Processing
Python
Research Publications

How to get hired

Tailor your resume: Highlight machine learning, big data, and advertising experience.
Showcase publications: Emphasize your contributions to quality conferences or journals.
Demonstrate technical skills: Detail your proficiency in Python/R and big data tools like Spark.
Understand eBay's mission: Align your application with eBay's e-commerce innovation goals.
Prepare for technical interviews: Be ready to discuss ML algorithms and data processing techniques.

Frequently asked questions

What are the key qualifications for an Applied Researcher at eBay?

The Applied Researcher 3 role at eBay requires an MS or PhD in Computer Science, Statistics, or Mathematics, coupled with significant industrial experience. Essential skills include expertise in machine learning, big data processing (Hadoop, Spark, SQL), and programming languages like Python or R, along with Java/Scala or C/C++. A proven track record with publications in reputable conferences or journals is also a strong requirement.

What kind of machine learning experience is most relevant for this Applied Researcher role?

For this Applied Researcher position at eBay, relevant machine learning experience includes classification, regression, recommendation systems, targeting systems, fraud detection, and online advertising. Industrial experience in these areas, particularly within e-commerce search and advertising, is highly valued for building the next generation of advertising products.

How does eBay use AI in its hiring process for Applied Researcher roles?

eBay may use AI tools for administrative tasks within the hiring process. Candidates can learn more about how eBay handles personal data and utilizes AI responsibly by visiting their Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.

What is the work environment like for an Applied Researcher on the Search Ads Team?

The Search Ads Team at eBay focuses on innovation at the core of e-commerce search and advertising, aiming to redefine the industry. This role involves tackling complex technical challenges at scale, working collaboratively with multiple teams, and contributing to cutting-edge online advertising products in a fast-paced environment.

Does eBay offer accommodations for applicants with disabilities?

Yes, eBay is committed to accessibility. If you require an accommodation during the application or interview process, please contact talent@ebay.com, and they will make every effort to respond to your request promptly. You can also learn more about their commitment via their accessibility statement.

Applied Researcher 3 - Search Ads

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