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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.

Our Search & Recommendations team works on delivering recommendations at scale and in near real time to our buyers on our website and native app platforms. Recommendations are a core part of how our buyers navigate eBay’s vast and varied inventory. Our team develops state-of-the-art recommendations systems, including agentic workflows, deep learning based retrieval systems for personalized recommendations, machine learned ranking models, as well as advanced MLOps in a high volume traffic industrial e-commerce setting.

We are building cutting edge agentic workflows and recommender systems powered by the latest ML, NLP, LLM and AI techniques. We are looking for an AI innovator who can help drive the execution of this effort forward into production at eBay scale. The candidate will work closely with leaders and other teams from our globally distributed Search & Recommendations organization, including product managers, engineers, and applied research leaders to brainstorm, build, and deliver future personalized e-commerce shopping experiences.

What you will accomplish:

• Drive engineering delivery of recommendations experiences and agentic workflows on a variety of surfaces at eBay

• Work with a team of applied researchers and engineers with deep expertise in natural language processing, computer vision, large language models / AI / agentic workflows, recommender systems, and ML production engineering

• Influence how people will interact with recommender systems in the future, and how recommender systems technology will evolve

• Work with large scale distributed systems serving real-time and near-real time traffic, distributed data stores, billions of impressions per day, and low latency SLA requirements

• Develop and deploy state of the art AI models

• Develop and deploy big data technology and large scale data pipelines

• Drive marketplace GMB through iterative A/B testing

What you will bring:

• MS/PhD in Computer Science or related area with 6+ years of relevant work experience (or BS/BA with 8+ years) in Software Engineering

• Experience in production engineering practices and software development in an OO language (Scala, Java, etc.) and large scale distributed systems in an industrial setting

• Experience with using cloud services, big data pipelines (Hadoop, Kafka, etc.) and databases (document store, key-value store, etc.)

• Experience in Python for ML pipelines is a plus

• Experience in industrial recommender systems or search technology is a plus

• Previous publications experience with academic papers, patents/IP, or technical blogs is a plus

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.

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