Senior SDE, Prime Video Personalization & Discovery

Description Prime Video is a first‑stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios‑produced series and movies; licensed fan favorites; and programming from Prime Video add‑on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best‑in‑class digital video experience. As a Prime Video technologist, you’ll have end‑to‑end ownership of the product, user experience, design, and technology required to deliver state‑of‑the‑art experiences for our customers. You’ll get to work on projects that are fast‑paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We are looking for a self‑motivated, passionate and resourceful Senior Software Development Engineer to bring diverse perspectives, ideas, and skill‑sets to make Prime Video even better for our customers. You will be a technical leader helping to design and build the ML infrastructure that power our vision. You will tackle complex and ambiguous problems, designing and delivering scalable and resilient ML and Data platform solutions from the ground up. You will not only write high‑quality, maintainable code, but also mentor other engineers, influence our technical strategy, and drive engineering best practices across the team. Your work will directly contribute to making Prime Video's operations more efficient and will set the technical foundation for years to come. Responsibilities As a Sr. SDE on the Prime Video Data Platform team, you will have deep subject matter expertise in the areas of big data pipeline architecture, data foundations for personalization & recommendation systems and world‑class user experience for customers of our data & ML infrastructure offerings. You will work with teams of scientists, product managers and engineers to translate business and functional requirements into concrete system deliverables. You will have the opportunity to build new platform services from the ground up, driving the development of innovative approaches to personalization, and providing opportunities for scientists and engineers to invent and implement scalable ML solutions supporting new customer experiences. Basic Qualifications 5+ years of non‑internship professional software development experience 5+ years of programming with at least one software programming language experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience with training and deploying machine learning systems to solve large‑scale optimizations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. USA, CA, Sunnyvale - 193,300.00 - 261,500.00 USD annually USA, NY, New York - 184,900.00 - 250,200.00 USD annually USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually Job ID: A10443383 #J-18808-Ljbffr