Applied AI Researcher

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.

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.

Do you love data? Graphs? Machine Learning? Knowledgeable, collaborative co-workers? Come work at eBay and help us redefine global, online commerce!

Who Are We?

The Product Knowledge Base team is at the epicenter of eBay’s Tech-driven, Customer-centric overhaul. Our team is entrusted with creating and using eBay’s Product Knowledge – a vast Big Data system which is built up of listings, transactions, products, knowledge graphs, and more. Our team has a mix of highly proficient people from multiple fields such as Machine Learning, Data Science, Software Engineering, Operations, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow!

What Will You Do?

We are looking for stellar Applied Researchers to join us and help improve, automate, and scale our data-heavy processes. Our Researchers tackle such diverse and exciting projects as Image Quality scoring; Automatic Taxonomy Improvement; Entity Resolution of rich, hierarchical Entities; and Conflict Resolution between different representations of the same Entity. If you love a good challenge, and are good at handling complexity – we’d love to hear from you!

EBay Also Happens To Be An Amazing Company To Work For. Being On The Team, You Can Expect To Benefit From

• A competitive salary – including stock grants and a yearly bonus
• A healthy work culture that promotes business impact and at the same time highly values your personal well-being
• Being part of a force for good in this world – eBay truly cares about its employees, its customers, and the world’s population, and takes every opportunity to make this clearly apparent

Job Responsibilities:

• Help define and refine project scopes, goals, and metrics
• Seek scientifically valid solutions that deliver real value to eBay customers
• Carefully measure your output and impact in order to learn and improve over time
• Collaborate with Operations team to ensure the quality of any human-labeled data required
• Build Machine Learning models and data pipelines to deliver insightful yet practical solutions
• Engage with the eBay Science community promote standard scientific methodologies and processes in your field
• Present key technical and novel research work in public forums and conferences

Minimum Qualifications:

• M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or equivalent field
• 1-3 years (with Ph.D.) or 3-5 years (with M.Sc.) of industrial experience in Applied Machine Learning
• Industrial experience with one or more of the following: classification, regression, NLP, clustering, Deep Learning / Neural Networks, Reinforcement Learning, or related
• Experience in Production-grade coding in a high-level language such as Python or Java
• Experience in Big Data processing frameworks, e.g. Hadoop, Hive, Spark
• 2 or more related publications in quality conferences or journals
• Excellent verbal and written communication and collaboration skills

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.

Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.

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.

Jobs posted with location as “Remote – United States (Excludes: HI, NM)” excludes residents of Hawaii and New Mexico.

This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.