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.

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 eBay’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, GenAI/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/GenAI/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 eBay’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 eBay'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 eBay buyers

Deploy big data technology and large scale data pipelines

Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations

Define, design, and implement highly scalable, resilient and performant distributed systems focusing on customer experience

Work throughout all phases of the software development process independently as well as work jointly with other team members

Collaborate with architects, product management, engineering and Operations teams to develop innovative solutions alignment to development goals and principles

Lead product design, produce clear, well-documented design docs, and participate in design and code reviews

Able to lead the scrum team and run scrum ceremonies effectively. 

Voice support for and communicate your design, methods, and results to a community of developers, analysts, and product managers

Provide technical guidance, coaching, mentorship to develop and improve performance of individual team members and success of overall team

Rigorously follow Definition of Done (DoD) process for better quality by maintaining over 80% unit test coverage and other release criteria standards

Responsible for leading engineering support, release, and on-call responsibilities for an always-on 24x7 site

Lead by example and share knowledge with the team

BS/BA in Computer Science or related field plus 10+ years work experience or MS with 8+ years of relevant experience

10+ years of software design and development experience, solid foundation in computer science with strong proficiencies in system architecture, distributed systems,  data structures, algorithms, OOPs, OOA/D and Functional programming

8+ years of proven experience in software development using Java, Scala, RESTful Web Services. Experience with NodeJS is a major plus.

6+ years of experience developing data-driven applications using an industry standard RDBMS, NoSQL

3+ years of experience in designing, and building highly scalable, fault tolerant distributed systems and services for large web sites

A person with a delivery focused in a fast paced and dynamic environment. Must demonstrate a sense of ownership to plan, implement and drive the product work to successful completion and be successful in a collaborative environment

Benefits are an essential part of your total compensation for the work you do every day. Whether you’re single, in a growing family, or nearing retirement, eBay offers a variety of comprehensive and competitive benefit programs to meet your needs. Including maternal & paternal leave, paid sabbatical, and plans to help ensure your financial security today and in the years ahead because we know feeling financially secure during your working years and through retirement is important.

Here at eBay, we love creating opportunities for others by connecting people from widely diverse backgrounds, perspectives, and geographies. So, being diverse and inclusive isn’t just something we strive for, it is who we are, and part of what we do each and every single day. We want to ensure that as an employee, you feel eBay is a place where, no matter who you are, you feel safe, included, and that you have the opportunity to bring your unique self to work. To learn about eBay’s Diversity & Inclusion click here: https://www.ebayinc.com/our-company/diversity-inclusion/

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Links to some of our previous work:

Tech Blog 2025 (Multimodal GenAI)

Tech Blog 2025 (GenAI Agentic Platform)

RecSys 2024 Workshop paper

Google Cloud Blog 2024

eBay Tech Blog 2023

eBay Tech Blog 2022

RecSys 2021 paper

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.

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