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.The Product Knowledge, Content and Query Science team is the biggest contributor to eBay’s inventory and query processing and drives a significant portion of revenue. We are growing at a rapid pace and are committed to building a stellar team. We are a team where people who do things differently and win are rewarded and grow. Our team is results-oriented and hardworking but maintains a friendly and fun environment. We are building solutions for core e-commerce customer problems with state-of-the-art ML algorithms tailored to understand large-scale user behavioral signals. We get things done that make a difference.The Content Science team is responsible for driving several new innovations to eBay’s Search including image based search , multimodal solutions and embedding based retrieval. We are looking for leaders to join us and build the next generation of Content Understanding products in eBay. If you enjoy the scale and technical complexity and want to be at the frontier of applied research in e-commerce, join now. Help us redefine Search at eBay.Job Responsibilities:Seek scientifically valid solutions that deliver real value to eBay customersCarry out statistical analyses on large and messy dataGuide the process to build machine learning models and data pipelines to deliver insightful yet practical solutionsWork with multiple teams to help promote standard scientific methodologies and processes in your fieldPresent key technical and novel research work in public forums and conferencesDrive impact with technical innovations to solve real world problems at eBay with optimized solutionsStay up to date with latest technological developments with Information Theory and Machine LearningBasic QualificationsMS or PhD in Computer Science, Statistics, Mathematics, or equivalent5+ years (with PhD) or 8+ years (with MS) of industrial experience in a related fieldIndustrial experience with all of the following: classification, regression, GBM, recommendation systems, clustering, DeepLearning/Neural NetworksIndustrial experience with one or more of the following: NLP, Computer Vision, Multimodal Modeling , Large Language Modeling, Embedding based Retrieval Experience in big data processing, e.g. Hadoop, SQL, SparkExperience with Python, and Java or Scala or C/C++ . Familiarity with frameworks such as Pytorch, tensorflow or JAX 5+ or more related publications in quality conferences or journals1+ patents grantedThe pay range for this position at commencement of employment in California, Washington, or New York is expected in the range below.$168,400 - $262,900Base 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.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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