ML Scientist / Machine Learning Engineer

eBay•Toronto, ON

1d•CA$118,000 - CA$157,500

About The Position

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. Company Overview eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses, and organizations of all sizes. Our strategic vision is to become the best global marketplace through a tech-led reimagination, focusing on a culture that encourages passion, courage, and imagination. Join a purpose-driven community dedicated to creating an ambitious and inclusive workplace where you can shape the future of global commerce. Role Overview eBay is seeking two distinct types of high-impact specialists to join our AI ecosystem: ML Scientists and ML Engineers. ML Scientists focus on designing state-of-the-art models for Ranking and Personalization, while ML Engineers specialize in building end-to-end infrastructure that transforms raw data into production ML systems delivering measurable business value.

Requirements

Python, AWS, Databricks
Ranking, Recommendations, Personalization, Pricing, Zipline (Feature Store)
Algorithm Research, ML Platform, Model Monitoring
Python, AWS, Databricks
MLOps, Model Serving, Monitoring, Productionization Standards
Infrastructure, Automation, Cost Optimization, Scalability

Nice To Haves

Experience with Agile/Scrum methodologies and tools like JIRA.
Experience in the e-commerce or payments domain is a plus.
Proven track record of architecting common libraries and patterns used in large-scale applications.
Solid understanding of computer science fundamentals, data structures, and algorithms along with up-to-date knowledge in Web technologies.
Experience driving architecture discussions and producing well-documented design docs.

Responsibilities

Design and implement advanced algorithms for Ranking, Recommendations, Personalization, and Pricing.
Develop the core ML platform and feature engineering systems using Zipline.
Take responsibility for model serving, monitoring, and evaluating performance metrics.
Productionize models from research by building robust ETL/ELT workflows and inference pipelines.
Build comprehensive MLOps systems focusing on deployment automation and observability.
Take responsibility for model performance SLOs and system cost optimization.