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Software & ML Engineer

Job in Toronto, Ontario, C6A, Canada
Listing for: eBay
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer, Data Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 118000 - 157500 CAD Yearly CAD 118000.00 157500.00 YEAR
Job Description & How to Apply Below

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 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 Responsibilities
  • Lead 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
Required Qualifications
  • 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
Preferred Qualifications
  • 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
Level Scope & Impact
  • 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 $157,500

Base 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)…

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