Applied Researcher-2

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.

About the team and the role :

Our Recommendations team works on delivering recommendations at scale and in near real time to our buyers on our eBay e-commerce marketplace website and native app platforms. Recommendations are a core part of how our buyers navigate eBays vast and varied inventory. Our team develops innovative 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 sophisticated MLOps in a high volume traffic industrial setting.

The scope of research includes but is not limited to sophisticated ML models for personalized recall and ranking that uses very large-scale attention models graph neural networks few-shot learning and other techniques to better model factors relevant to peoples interests cohort memberships and trends. Also in scope are deep user understanding advanced user embeddings interpretable user models and interest graphs - both global and personal. Furthermore we are looking to expand into video recommendations as well as live commerce so this is an exciting new area for us to explore.

What you will accomplish :

Work with unique and large data sets of unstructured multimodal data representing eBays vast and varied inventory including billions of items and millions of users

Develop and deploy innovative AI models to production which have direct measurable impact on eBay buyers working with a global team of applied researchers and ML engineers

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

Publish research work in Tier 1 conferences as well as write IP and tech blogs

What you will bring :

BS in Computer Science or related area with 5 years of relevant work experience in Machine Learning / AI / NLP / LLM. MS or PhD preferred.

Experience with building personalized recommender systems or other forms of personalization technology

Python and PyTorch framework

Hands on engineering skills to build and deploy ML models in production on prem or using cloud services

Experience in Java / Scala is a plus

Experience with big data pipelines (Hadoop Spark) is a plus

Experience with Large Language Models (LLMs) prompt engineering and GenAI coding assistants is a plus

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

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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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Key Skills

Intelligence Community Experience,Python,Spss,Microsoft Word,R,Regression Analysis,Windows,Stata,Microsoft Powerpoint,Research Experience,Data Modeling,Writing Skills

Employment Type : Full-Time

Experience : years

Vacancy : 1