Senior Engineer

At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were 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. Were 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 youre 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 eBays vast and varied inventory. Our team develops state-of-the-art recommendations systems including Live video recommendations 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.

This is an opportunity to:

• Drive engineering architecture strategy for Live video shopping recommendations 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 high traffic microservice architectures near-real time applications distributed data stores billions of impressions per day and low latency SLA requirements

• 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/PhD in Computer Science or related area with 8 years of relevant work experience (or BS/BA with 10 years) in Software Engineering

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

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

• 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:

• RecSys 2025 paper

• Tech Blog 2025 (GenAI Agentic Platform)

• Google Cloud Blog 2024

• eBay Tech Blog 2022

• RecSys 2021 paper

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 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. View our accessibility statement to learn more about eBays commitment to ensuring digital accessibility for people with disabilities.

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