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.Job SummaryThis role owns the design, execution, and productionization of high-impact machine learning systems that sit at the intersection of data quality, inference pipelines, experimentation, and real-world platform integration. The position operates as a senior technical authority, driving ML and other initiatives from ambiguous problem statements through measurable production outcomes.The role requires deep hands-on technical leadership and the ability to translate business and product intent into scalable ML systems. It also demands strong influence across engineering, data, and product collaborators.Key ResponsibilitiesLead the end-to-end development of machine learning systems, from data analysis and modeling through experimentation, validation, and production deploymentBuild and implement scalable batch and real-time inference pipelines with strong guarantees around correctness, reproducibility, and operational stabilityOwn model performance analysis, experiment design, and accuracy evaluation, including diagnosing regressions and driving iterative improvementsTranslate noisy, incomplete, or inconsistent real-world data into reliable signals usable by downstream systemsDefine and evolve ML workflows that support rapid experimentation while remaining production-safePartner closely with platform, infrastructure, and application teams to integrate ML outputs into live systemsDrive technical clarity in ambiguous problem spaces by decomposing domains into well-defined, testable componentsAuthor technical builds and implementation plans that align multiple teams around a shared execution strategyServe as a technical mentor and reviewer for other specialists working on applied ML systemsAct as a go-to guide for debugging, operational issues, and architectural decisions in machine learning-based servicesRequired QualificationsExperience building and deploying predictive modeling solutions in production environmentsStrong foundation in data analysis, model evaluation, and experimentation methodologyProven track record to design and operate both batch and real-time ML pipelinesHands-on proficiency with Python and ML toolingExperience working with imperfect, large-scale datasets and deriving actionable signal from themProven track record to work across interpersonal boundaries and align collaborators with differing prioritiesStrong technical communication skills, including written design documentation and executive-level explanationsPreferred QualificationsExperience operationalizing ML models in high-traffic, high-reliability systemsFamiliarity with distributed data processing and scalable inference architecturesBackground in applied machine learning for classification, inference, or decision-support systemsTrack record of owning critical ML workflows or platforms used by multiple teamsLevel Scope & ImpactOperates as an individual contributor with broad technical autonomyOwns problem spaces with high business and technical ambiguityInfluences architectural direction beyond immediate team boundariesSets standards for quality and production readinessThe base pay range for this position is expected in the range below:C$118,000 - C$157,500Base 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 RRSP eligibility, 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.Additional DetailsThis job posting relates to an existing vacancy within 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, 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. 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