Are you customer-obsessed, data oriented, and confident in proposing opportunities to improve our customers’ experience across different Amazon businesses? Customer Experience and Business Trends (CXBT) is looking for a scale-focused and customer-obsessed Software Development Engineer.As an SDE / MLE, you will be part of a team that adds new capabilities with multiple visual/audio analytic methodologies. The solutions heavily leverage AI and quantitative analysis to challenge conventional wisdom with hard data. Our SDEs use technology to solve complex problems and get to see the impact of their work first-hand.Key job responsibilitiesAbility to quickly learn new technologies and algorithms in the field of Generative AI.Stay up-to-date with advancements and the latest modeling techniques in the fieldWork closely with applied scientists, engineers and product managers to design, implement and launch AI solutions end-to-endWrite high-quality, maintainable code while following best practices and design patternsOwn end to end deployment at scale of Generative and ML methods.Build and optimize automated data collection frameworks across different surfaces (web, mobile)Participate in code reviews and contribute to technical documentationDebug production issues and implement performance improvementsContribute to architecture decisions and technical strategyMentor and help recruit MLEs to the team.A day in the lifeYou'll work closely with Product Managers, Data Scientists, and other engineers to build tools that enable large-scale data collection and analysis. You'll tackle challenges ranging from agentic framework development to implementing new features for our self-service platforms, while ensuring high performance and reliability.About the teamCustomer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings – for almost every business at Amazon – for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers).Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills, and backgrounds – including: Product Managers, Software Developers, Computer Vision experts, Solutions Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, Risk Managers, and more.