Senior Applied Researcher - Search
Removed from the employer's board on Nov 4, 2026. First seen by Alion on Sep 22, 2026. eBay scores B on the Alion truth index.
Open roles like this one
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.
Looking for a company that inspires passion, courage and creativity, where you can be on the team shaping the future of global commerce? Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to crafting an ambitious and inclusive work environment, join eBay - a company you can be proud to be with.
About the team and the role:
The Search Query Science team at eBay is a key driver of the company's search revenue and is growing rapidly. We're building a world-class team that values bold, innovative thinking and rewards impact. Our work focuses on solving core e-commerce search challenges-like query rewriting, annotation, classification, and recovery-using cutting-edge ML algorithms that interpret large-scale user behavior. With a fun, collaborative environment, we're now looking for stellar applied researchers to develop advanced query understanding products. If you're excited by large-scale query processing-intent detection, entity resolution, categorization, expansion and filter recommendation-join us and help redefine query understanding at eBay.
What you will accomplish:
Tackle advanced AI challenges in Query Science and NLP at eBay.
Collaborate with researchers and engineers on cutting-edge technologies.
Contribute to solving complex problems that impact eBay's platform.
Help shape the technical vision for query understanding.
Apply software engineering best practices to improve development experience.
Build offline data pipelines for ML model training and validation.
Design and deploy web services for serving real-time inference algorithms.
Mentor junior colleagues and raise the technical bar within and outside your team.
What you will bring:
A PhD in Computer Science/Engineering or related fields, and/or at least 8 years of experience in the field;
Proven track record of applied research and software development in the ML/NLP realm (e.g. publications in top-tier scientific venues, contributions to open-source software projects, etc.);
Strong education in computer science (data structures and algorithms, computational complexity analysis) and proficiency with multiple programming languages (Python/Java/Scala/C/C++/scripting languages);
Experience with service-oriented architectures and frameworks (e.g. SpringBoot), cloud computing solutions (Docker, Kubernetes, etc.), and databases;
Proven ability to work independently and make good decisions with minimal direction;
Strong communication skills (fluent English, both verbal and written).
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 [email protected]. 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 ourTalent Privacy Notice,Privacy Center, and AI Hiring Guidelines.