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Amazon continues to invest in its Advertising business to tap into the growing online advertising market. The Publisher Technologies team builds and operates extensible services that empower 1P Publishers to optimize their customer experiences and improve monetization. We focus on creating flexible, standards-based solutions that allow Publishers to innovate while seamlessly interacting with other advertising technology providers-both internal and external. The Publisher Technology Data, Insights, and Analytics team accelerates data-driven decision-making by providing near real-time data, data management tools, actionable insights. Our machine learning models inform dynamic floor prices, and yield optimization in first and second price auction environments to optimize publisher revenue. Our data products equip Publishers and Monetization teams with the tools needed to understand advertising performance and support scalable machine learning initiatives. In this role, you will develop machine learning models that incorporate deep product and shopper understanding, and conduct A/B tests to ensure that we identify all useful and relevant advertisements and provide them to downstream systems for click-through prediction and ad auctions. We are looking for a passionate Applied Scientist with technical expertise in information retrieval, Natural Language Processing (NLP), Large Language Models (LLM), and recommender systems (RecSys). In addition to hands-on experience building ML-based solutions, an ideal candidate should be able to create and articulate a customer-centric science vision, show a willingness to continuously learn about new scientific approaches, and thrive in a startup-like environment.
