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. 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 Architect and deploy state-of-the-art transformer-based models for fee classification and anomaly detection across hundreds of millions of products Pioneer novel applications of multimodal LLMs to analyze product attributes, images, and seller metadata for intelligent fee determination Build production-scale generative AI systems for fee integrity and seller communications Advance the field of ML through novel research in high-stakes, large-scale transaction processing Develop SOTA causal inference frameworks integrated with deep learning to understand fee impacts and optimize seller outcomes 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!