Senior Applied Researcher

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.

About the Team and the Role

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 team explores and provides solutions for deeply complex problems by conducting research in areas of Recommender Systems,  Machine Learning, Data Science, NLP and Information Retrieval. We work closely with the product teams in order to bring state of the art technology to production environment.

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. We are building cutting edge recommender systems powered by the latest ML, NLP, LLM/GenAI/RAG and AI technologies. 

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.

What you will bring:

• MS in a relevant domain. PhD is an advantage.

• Proven experience in the fields of Recommender Systems, Machine Learning and NLP.

• Demonstrated experience in designing, implementing, and optimizing complex deep learning models for real-world applications

• 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 building large scale distributed applications and expertise in any OO language (Scala, Java, etc.) - a plus

• 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

Links to some of our previous work:

• Google Cloud Blog 2024

• WWW 2024 paper

• eBay Tech Blog 2023

• RecSys 2022 Workshop paper

• eBay Tech Blog 2022

• RecSys 2021 paper

• SIGIR 2021

The base pay range for this position is expected in the range below:

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.