Engineering Lead, Recommender Systems

Company: eBay
Company: eBay
Location: Amsterdam
Commitment: Full time
Posted on: 2023-10-28 18:07
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 out a new team to explore a new generation of recommender systems powered by Large Language Models and AI in general. We are looking for a AI leader and innovator who can hire and lead a team of applied researchers and engineers and get systems into production at eBay scale, following an agile startup model. The candidate will report directly to the Senior Director, Applied Research and Engineering for Recommendations, and will work closely with product managers and design leaders to brainstorm and enable future recommendation user experiences.This is an opportunity to:Hire and lead a dream team of applied researchers and engineers with deep expertise in large language models / AI, recommender systems, and production engineeringInfluence how people will interact with recommender systems in the future, and how recommender systems technology will evolveWork with unique and large data sets of unstructured multimodal data representing eBay's vast and varied inventory, and millions of usersDevelop and deploy state of the art large language modelsDeploy big data technology and large scale data pipelinesDrive marketplace GMB as well as advertising revenue via organic and sponsored recommendationsQualificationsMS/PhD in Computer Science or related area with 8 years of relevant work experience (or BS/BA with 10 years) in Engineering / Machine Learning / AIExperience leading a nimble engineering team, preferably in a ML/AI technology startup environmentExperience with using cloud services, big data pipelines and databasesExperience in Natural Language Processing (NLP) and industrial recommender systemsExperience in production engineering practices and software development in an OO language (Scala, Java, etc.) and high volume traffic webapp development in an industrial settingtech.ebayinc.comBuilding a Deep Learning Based Retrieval System for Personalized RecommendationsA step-by-step guide on how to build a state-of-the-art recommender system in an industrial setting.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/#LI-AZ1#LI-HybrideBay Inc. 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 are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talent@ebay.com.  We will make every effort to respond to your request for disability assistance as soon as possible. View our accessibility info to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. For more information see: EEO is the Law Poster and EEO is the Law Poster Supplement.Jobs posted with location as "Remote - United States (Excludes: HI, NM)" excludes residents of Hawaii and New Mexico. This 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.
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