Applied Scientist, Seller Fees Science

DescriptionThe Seller Fees organization drives the monetization infrastructure powering Amazon's global marketplace, processing billions of transactions for over two million active third-party sellers worldwide. Our team owns the complete technical stack and strategic vision for fee computation systems, leveraging advanced machine learning to optimize seller experiences and maintain fee integrity at unprecedented scale. We're seeking an exceptional Applied Scientist to push the boundaries of large-scale ML systems in a business-critical domain. This role presents unique opportunities to u2022 Architect and deploy state-of-the-art transformer-based models for fee classification and anomaly detection across hundreds of millions of products u2022 Pioneer novel applications of multimodal LLMs to analyze product attributes, images, and seller metadata for intelligent fee determination u2022 Build production-scale generative AI systems for fee integrity and seller communications u2022 Advance the field of ML through novel research in high-stakes, large-scale transaction processing u2022 Develop SOTA causal inference frameworks integrated with deep learning to understand fee impacts and optimize seller outcomes u2022 Collaborate with world-class scientists and engineers to solve complex problems at the intersection of deep learning, economics, and large business systems. If you're passionate about advancing the state-of-the-art in applied ML/AI while tackling challenging problems at global scale, we want you on our team Key job responsibilities Responsibilities: . Design measurable and scalable science solutions that can be adopted across stores worldwide with different languages, policy and requirements. u00b7 Integrate AI (both generative and symbolic) into compound agentic workflows to transform complex business systems into intelligent ones for both internal and external customers. u00b7 Develop large scale classification and prediction models using the rich features of text, image and customer interactions and state-of-the-art techniques. u00b7 Research and implement novel machine learning, statistical and econometrics approaches. u00b7 Write high quality code and implement scalable models within the production systems. u00b7 Stay up to date with relevant scientific publications. u00b7 Collaborate with business and software teams both within and outside of the fees organization. About the team The Seller Fees organization drives the monetization infrastructure powering Amazon's global marketplace, processing billions of transactions for over two million active third-party sellers worldwide. Our team owns the complete technical stack and strategic vision for fee computation systems, leveraging advanced machine learning to optimize seller experiences and maintain fee integrity at unprecedented scale.Basic Qualifications- Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data WarehousePreferred Qualifications- Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 youu2019re applying in isnu2019t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Created: 2025-11-15