Senior Applied Researcher

At e Bay, 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 e Bay – 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 e Bay’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 leader and innovator who can drive this effort forward, provide strategic direction, as well as get their hands dirty and get systems into production at e Bay scale.

The candidate will work closely with leaders and other teams from our globally distributed Search & Recommendations organization, including product managers, design, and analytics leaders to brainstorm and enable future personalized e-commerce shopping experiences.

This is an opportunity to: Develop agentic workflows on a variety of surfaces at e Bay Work with a team of applied researchers and engineers with deep expertise in natural language processing, 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 unique and large data sets of unstructured multimodal data representing e Bay's vast and varied inventory, and millions of users Develop and deploy state of the art AI models Deploy big data technology and large scale data pipelines Drive marketplace GMB through iterative A/B testing Qualifications MS/Ph D in Computer Science or related area with 8 years of relevant work experience (or BS/BA with 10 years) in Engineering / Machine Learning / AIExtensive development experience, preferably in a ML/AI technology environment (Python, Py Torch, etc.)Experience with using cloud services, big data pipelines and databases Experience in Natural Language Processing (NLP) and industrial recommender systems Experience in production engineering practices and software development in an OO language (Scala, Java, etc.) and high volume traffic webapp development in an industrial setting Previous publications experience with academic papers, patents/IP, or technical blogs is a plus.

Links to some of our previous work: Rec Sys 2025 paper Tech Blog 2025 (Multimodal Gen AI)Tech Blog 2025 (Gen AI Agentic Platform)Rec Sys 2024 Workshop paper Google Cloud Blog 2024e Bay Tech Blog 2023e Bay Tech Blog 2022Rec Sys 2021 paper Additional Detailse Bay 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 e Bay's commitment to ensuring digital accessibility for people with disabilities.

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Job Summary Job number: R0074005Date posted : 2026-05-01Profession: Engineering Employment type: Full time