Applied Researcher 1

Company Overview

eBay stands as a global leader in ecommerce, transforming how the world buys and sells. Enabling millions of users across over 190 markets, eBay is dedicated to pushing innovation boundaries and shaping the future of enthusiastic ecommerce. Authenticity, customer-focused innovation, and inclusiveness are core company values.

About the Role and Team

The position is part of the Search Ranking and Monetization team which is central to eBay’s marketplace, managing the search and ad experiences for millions of users daily. This team leads the advancement of e-commerce advertising by leveraging sophisticated machine learning models, large-scale experiments, and customer value focus.

Key Responsibilities

• Develop robust, scientifically grounded solutions that enhance buyer and seller results such as relevance and market efficiency.
• Create, refine, and maintain machine learning models and data infrastructure used for ranking, recommendation, and advertising functions within eBay search.
• Collaborate closely with product, engineering, and analytical teams to define challenges, formulate hypotheses, and translate research into scalable production solutions.
• Establish and promote best practices in scientific methods, experimentation, and evaluation frameworks throughout the organization.
• Present technical and research achievements at internal venues and external conferences to reinforce eBay’s leadership in e-commerce advertising.
• Engage in continuous learning and mentorship related to large-scale machine learning, big data technologies, and experimentation techniques.

Qualifications

• Master’s or PhD degree in Computer Science, Statistics, Mathematics, or related quantitative fields, or equivalent experience.
• Experience ranges: 1-3 years with PhD or 3-5 years with Master’s in relevant fields including online advertising, ranking, recommendation, targeting, or fraud detection.
• Extensive hands-on experience applying machine learning methods such as classification, regression, ranking, and recommendation in large-scale settings.
• Fluency with big data frameworks including Hadoop, SQL, and Spark, managing complex datasets.
• Strong coding skills in Python or R, plus proficiency in one or more of Java, Scala, or C/C++, aimed at creating production-level systems.
• Proven scholarly contribution shown by two or more publications in respected journals or conferences and adept at communicating research outcomes clearly to diverse audiences.

Compensation and Benefits

The base salary is anticipated to range between C$118,000 and C$157,500, subject to personalized factors like experience, skills, and location. The full compensation package may also feature target bonuses, restricted stock units, and a comprehensive suite of medical and financial benefits, including retirement savings plan eligibility and paid time off options.

Additional Information

eBay is committed to equal employment opportunity regardless of race, color, religion, national origin, gender, sexual orientation, gender identity, disability, or other protected status. Accommodation requests during the hiring process can be addressed by contacting eBay's recruitment team. The company also prioritizes digital accessibility and responsible use of AI in hiring.