SoftwareDevelopmentEngineer-MachineLearningPrimeVideoRecommendations,PrimeVideoPersonalizationandDiscovery

Just finished Fallout and want to watch more of the same? Looking for a movie that's like SaltBurn? So are millions of our Prime Video customers. The Prime Video Groupings, Re-engagement and Optimizations team suggests videos that are relevant and tailored to customers’ schedules and environments. We help our customers find new content and content they have engaged with, to provide the most relevant titles. We tailor these recommendations through Personalization models that you can help shape. Along with delivering an AI-First personalization experience, you'll collaborate with a talented team of engineers and scientists to create models to run these predictions and services to provide the results at incredible scale and speed. Key job responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. About the team In Prime Video Personalization and Discovery, our mission is to show a customer the right video content, in the right place, at the right time. We tailor PV for a diverse and global audience, so customers world-wide with different tastes and backgrounds can find something to watch and enjoy on every visit. We delight Prime subscribers by leaning in to the Amazon originals and exclusives that shape our brand and differentiate us. We grow our relationships with customers by leveraging our deep understanding of them to provide relevant and timely recommenda