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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, 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 and AI techniques. We are looking for an AI leader and innovator who can lead a team of applied researchers and engineers, hire top talent when necessary, as well as get systems into production at eBay scale. The candidate will work closely with leaders and other teams from our globally distributed Recommendations organization, including product managers, design, and analytics leaders to brainstorm and enable future personalized recommendation user experiences.

This is an opportunity to:

  • Lead and manage a team of applied researchers and engineers with deep expertise in natural language processing, large language models / AI, recommender systems, and ML production engineering
  • Drive personalization strategy for eBay recommendations and influence look and feel of the eBay homepage
  • Influence how people will interact with 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, and millions of users
  • Develop and deploy state of the art AI models
  • Deploy big data technology and large scale data pipelines
  • Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations

Qualifications

  • MS/PhD in Computer Science or related area with 8 years of relevant work experience (or BS/BA with 10 years) in Engineering / Machine Learning / AI
  • Experience leading a nimble engineering/research team, preferably in a ML/AI technology environment
  • Experience with using cloud services, big data pipelines and databases
  • Experience in Natural Language Processing (NLP) and industrial recommender systems
  • 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:

  • eBay Tech Blog 2023
  • WSDM 2022 paper
  • eBay Tech Blog 2022
  • SIGIR 2021 paper

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/company/diversity-inclusion/

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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.

Jobs posted with location as "Remote - United States (Excludes: HI, NM)" excludes residents of Hawaii and New Mexico.

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Confirmed 51 minutes ago. Posted 22 days ago.

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