Manager Iii, Applied Science, Trustworthy Shopping Experience

Are you excited about solving complex business problems at scale through GenAI Are you fascinated about the application of Agentic AI and LLMs on real-life scenarios Are you looking to invent solutions that drive Autonomous Artificial Intelligence If so we are looking for you to fill a challenging position on Amazon s Trustworthy Shopping Experience TSE team At TSE our vision is to guarantee customers a worry-free shopping experience by earning their trust that the products they buy are safe authentic and compliant with regulations and policy and giving them the confidence that Amazon stands behind every product and will make it right in the rare chance anything goes wrong We do this in close partnership with our selling partners and empower them with best-in-class tools and expertise required to offer a high-quality selection of compliant products that customers trust When we do this consistently we help selling partners grow their business and power their long-term success As an Applied Science Manager you will be responsible for leading a team that delivers the science solutions required to automate complex manual investigation processes especially by leveraging LLMs You will handle Amazon scale use-cases with significant impact to the cost of serving Customers Key job responsibilities - You invent and design new solutions for scientifically-complex problem areas and or opportunities in existing or new business initiatives - You design experiments and define the science approach to solve critical business use-cases for automating manual work that involves unstructured text documents images symbols etc - Your work focuses on ambiguous problem areas at the product level where the business problem or opportunity may not yet be crisply defined - You drive or heavily influence the design of scientifically-complex software solutions or systems for which you personally write significant parts of the critical scientific novelty - You provide a system-wide view and design guidance for solutions that can be brand new or evolve from existing ones - You apply and set the example for best practices in software engineering and systematically peer review code written by your team members - You set standards and proactively drive components to use and improve on state-of-the-art techniques - You autonomously drive thoughtful discussions with customers engineers and scientist peers and build consensus on larger projects and factor complex efforts into independent tasks that can be performed by you and others About the team Investigation technology Product team in TSE is responsible for the human-in-the-loop products and technology used in the risk investigations at Amazon The team is also responsible for reducing the cost of performing the investigations by automating wherever possible and optimizing the experience where manual interventions are needed The team leverages state-of-the art technology and GenAI to deliver the products and associated goals BASIC QUALIFICATIONS - 3 years of scientists or machine learning engineers management experience - Knowledge of ML NLP Information Retrieval and Analytics - Experience directly managing scientists or machine learning engineers - Experience programming in Java C Python or related language - Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers - PhD in math statistics engineering or other equivalent quantitative discipline - Experience in patents or publications at top-tier peer-reviewed conferences or journals Our inclusive culture empowers Amazonians to deliver the best results for our customers If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information If the country region you re applying in isn t listed please contact your Recruiting Partner