Applied Scientist, RL and Recommendation Systems

Description Description Are you passionate about AI for recommendation systems? Do you want to influence the content that customers see at ? Our recommendation services team designs and implements scalable machine learning solutions to personalize and optimize customer experience across Amazon retail pages. We are currently expanding in New York, and are looking for an applied scientist to join us in this exciting journey. As an Applied Scientist, you will: Push the boundaries of reinforcement learning, recommendation, and optimization systems.Support science, engineering and product development on a scale only seen at Amazon.Champion and define best practices to maximize learnings while mentoring more junior scientists and engineers.Obsess over customer needs and satisfaction.Create intellectual property, influence others while demonstrating significant creativity and being vocally self-critical.Shape product definitions and objective and surface signals on how these objectives meet long term customer needs.Translate metrics & signals into actionable plans to calibrate individual components.Operate hands-on and as an implementer of algorithms and models delivered to production systems.Help define customer focused research initiatives.Please visit for more information.Basic Qualifications PhD or equivalent Master''s Degree plus 4+ years of experience in CS, CE, ML or related field2+ years of experience of building machine learning models for business applicationExperience programming in Java, C++, Python or related languagePreferred Qualifications Peer-reviewed publications within the related research fieldPhD and 5+ years of industry experience in one or more of Recommendation Systems, Reinforcement Learning, NLP, Machine Learning for Optimization.3+ years of industrial experience designing and implementing algorithms into production software systemsExperience with production-level recommendation systemsExpertise in Reinforcement Learning, Natural Language Processing, and deep learning architectures including TransfomersUnderstand both complex and simple modeling techniques and be able to determine when to apply them.Proven experience producing computationally efficient software to meet real-time requirementsSolid knowledge of inferential statistics and computer science fundamentalsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.Basic Qualifications PhD or equivalent Master''s Degree plus 4+ years of experience in CS, CE, ML or related field2+ years of experience of building machine learning models for business applicationExperience programming in Java, C++, Python or related languagePreferred Qualifications Peer-reviewed publications within the related research fieldPhD and 5+ years of industry experience in one or more of Recommendation Systems, Reinforcement Learning, NLP, Machine Learning for Optimization.3+ years of industrial experience designing and implementing algorithms into production software systemsExperience with production-level recommendation systemsExpertise in Reinforcement Learning, Natural Language Processing, and deep learning architectures including TransfomersUnderstand both complex and simple modeling techniques and be able to determine when to apply them.Proven experience producing computationally efficient software to meet real-time requirementsSolid knowledge of inferential statistics and computer science fundamentalsAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.

Created: 2025-09-06