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Job Summary
This 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 deployment
Build and implement scalable batch and real-time inference pipelines with strong guarantees around correctness, reproducibility, and operational stability
Own model performance analysis, experiment design, and accuracy evaluation, including diagnosing regressions and driving iterative improvements
Translate noisy, incomplete, or inconsistent real-world data into reliable signals usable by downstream systems
Define and evolve ML workflows that support rapid experimentation while remaining production-safe
Partner closely with platform, infrastructure, and application teams to integrate ML outputs into live systems
Drive technical clarity in ambiguous problem spaces by decomposing domains into well-defined, testable components
Author technical builds and implementation plans that align multiple teams around a shared execution strategy
Serve as a technical mentor and reviewer for other specialists working on applied ML systems
Act as a go-to guide for debugging, operational issues, and architectural decisions in machine learning-based services
Experience building and deploying predictive modeling solutions in production environments
Strong foundation in data analysis, model evaluation, and experimentation methodology
Proven track record to design and operate both batch and real-time ML pipelines
Hands-on proficiency with Python and ML tooling
Experience working with imperfect, large-scale datasets and deriving actionable signal from them
Proven track record to work across interpersonal boundaries and align collaborators with differing priorities
Strong technical communication skills, including written design documentation and executive-level explanations
Experience operationalizing ML models in high-traffic, high-reliability systems
Familiarity with distributed data processing and scalable inference architectures
Background in applied machine learning for classification, inference, or decision-support systems
Track record of owning critical ML workflows or platforms used by multiple teams
Operates as an individual contributor with broad technical autonomy
Owns problem spaces with high business and technical ambiguity
Influences architectural direction beyond immediate team boundaries
Sets standards for quality and production readiness
The 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 Details
This 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 [email protected]. 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.
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