ML Scientist / Machine Learning Engineer
Role 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.
Key Skills for This Role
Full Job Posting
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.
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.
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:
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. 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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About eBay
Global e-commerce leader connecting buyers and sellers worldwide.
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