ML Scientist / Machine Learning Engineer

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.

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. Primary Job Responsibilities ML Scientist Responsibilities Model Research: Design and implement advanced algorithms for Ranking, Recommendations, Personalization, and Pricing. ML Platform Development: Develop the core ML platform and feature engineering systems using Zipline. Inference & Monitoring: Take responsibility for model serving, monitoring, and evaluating performance metrics. ML Engineer Responsibilities Productionization: Productionize models from research by building robust ETL/ELT workflows and inference pipelines. MLOps & Infrastructure: Build comprehensive MLOps systems focusing on deployment automation and observability. Optimization: Take responsibility for model performance SLOs and system cost optimization. Job Requirements Category ML Scientist Requirements ML Engineer Requirements Languages Python, AWS, Databricks Python, AWS, Databricks ML Skills Ranking, Recommendations, Personalization, Pricing, Zipline (Feature Store) MLOps, Model Serving, Monitoring, Productionization Standards Focus Algorithm Research, ML Platform, Model Monitoring Infrastructure, Automation, Cost Optimization, Scalability Preferred Qualifications 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. Additional Details The base pay range for this position is expected in the range below: C$142,400 - C$190,100 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) 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. This job posting relates to an existing vacancy within eBay. eBay is an equal opportunity employer.