Join Amazon's Worldwide Pricing and Promotions team as a Software Development Engineer II (ML) focused on Competitive Monitoring. This role is pivotal in tackling complex technical challenges within crawling, large-scale computing, distributed systems, and web applications. You will leverage large language models in agentic workflows to build scalable and robust solutions at Amazon's scale, directly impacting how customers discover products and make purchasing decisions.

This is an exciting opportunity to contribute to the evolution of competitive intelligence, driving Amazon's competitive advantage through intelligent, resilient, and observable systems. You will own the entire technology stack, from concept to deployment.

Architect and build the core intelligence engine for Amazon's competitive advantage, focusing on real-time systems that ingest, analyze, and act on competitive data at scale. Design and implement agentic workflows that autonomously solve complex business problems while ensuring safety and end-to-end observability. Engineer real-time, highly available solutions to manage Amazon's vast competitive landscape, focusing on performance and scalability. Own the full-stack development, including intuitive APIs, user interfaces, and robust backend systems, adhering to best practices in security, performance, accessibility, and usability. Collaborate globally with teams in Seattle and across Amazon to shape the future of competitive intelligence collection and analysis.

Possess at least three years of professional software development experience, excluding internships. Demonstrate proficiency in programming with at least one software programming language. Hold a Bachelor's degree in Computer Science or an equivalent field. Experience in building large-scale machine learning infrastructure for online recommendation, ad ranking, personalization, or search is highly preferred. Familiarity with Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques is a plus.