Applied Researcher 2

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**

**As a senior researcher in our group you are expected to own the full lifecycle of your work: from understanding the business problem, to conducting the research to find the right ML approach, to production deployment. Think, full-stack researcher / data scientist. Moreover, we see great importance in publishing our work in scientific top-tier conferences (RECSYS, NIPS, WWW, WSDM, SIGIR, EMNLP, and others).**

**Come join our innovative engineering and applied research team**

**What You Will Accomplish**:
**Being a part of eBay’s Research group means**:

- ** You will conduct world-class research in the area of Recommender Systems, Machine Learning and Natural Language Processing.**
- ** You will solve complex problems for eBay's core product and see your work impacts billions of people around the world.**
- ** You will work with top scientists to conduct state of the art research.**
- ** You will have a huge part in the next generation of eBay’s products.**

**Job Requirements**:

- ** MS in a relevant domain. PhD is an advantage.**
- ** Proven experience in the fields of Recommender Systems, Machine Learning and NLP.**
- ** Combination of strong research, engineering and business acumen skills.**
- ** Deep understanding of computer science fundamentals, data structures, and algorithms.**
- ** Experience in programming in Python**
- ** Experience in working in a complex production environment - a plus.**
- ** Publication record in machine learning or related conferences - a plus.**
- ** Experience with Large Language Models (LLMs) and prompt engineering - a plus**

**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.**

**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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