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 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 deep learning based retrieval systems for personalized recommendations, machine learned ranking models, Gen AI/LLM powered recommendations, as well as advanced MLOps in a high volume traffic industrial e-commerce setting.
We are building cutting edge recommender systems powered by the latest ML, NLP, LLM/Gen AI/RAG and AI technologies.
Additionally, we are building production integrations with Google GCP Vertex AI platforms to supercharge our item recommendation algorithms.
Come join our innovative engineering and applied research team!This is an opportunity to: Influence how people will interact with e Bay’s 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, including billions of items and millions of users Develop and deploy state-of-the-art AI models to production which have direct measurable impact on e Bay buyers Deploy big data technology and large scale data pipelines Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations Qualifications: MS in Computer Science or related area with 3 years of relevant work experience (or BS/BA with 5 years) in Engineering / Machine Learning / AIExperience building large scale distributed applications and expertise in any OO language (Scala, Java, etc.) Experience building with no sql databases and key value stores (Mongo DB, Redis, etc)Generalist with a can do attitude and willingness to learn/pick up new skill sets as needed Experience with big data pipelines (Hadoop, Spark) is a plus Experience in AI applied research and industrial recommendation systems is a plus Experience with Large Language Models (LLMs) and prompt engineering is a plus Links to some of our previous work: (Gen AI Agentic Platform)Please see the for information regarding how e Bay handles your personal data collected when you use the e Bay Careers website or apply for a job with e Bay.e 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 .
We will make every effort to respond to your request for accommodation as soon as possible.
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