Applied Scientist, Prime Video - Title Lifecycle Presentation

Applied Scientist, Prime Video - Title Lifecycle Presentation Job ID: 10372570 | Amazon.com Services LLC 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’ll look for you to bring your diverse perspectives, ideas, and skill‑sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! The Prime Video Title Lifecycle Presentation team sits at the intersection of science, experimentation, and customer experience. We leverage data signals and rigorous testing to present the most engaging information about our content to customers at precisely the right moment. Our mission is to ensure every customer interaction with Prime Video content is informed, relevant, and compelling in order to drive discovery and engagement across our vast catalog. Key Expertise Multi‑modal embeddings for rich metadata representation, enabling nuanced understanding of content attributes and customer preferences Contextualized ranking systems that adapt to customer intent, viewing context, and real‑time signals Reinforcement learning frameworks that create continuous improvement loops, allowing our systems to learn and optimize from customer interactions over time General modeling techniques with strong fundamentals in machine learning and statistical methods Recommender systems experience, with proven ability to build and scale personalization solutions Key job responsibilities Work with large datasets containing billions of images and video to build large‑scale machine learning systems. Analyze and model terabytes of text, images, and other types of data to solve real‑world problems and translate business and functional requirements into quick prototypes or proofs of concept. Invent, design, evangelize, and implement state‑of‑the‑art solutions for never‑before‑solved problems while leveraging domain expertise combined with machine learning and statistical techniques. Basic Qualifications 3+ years of building models for business applications PhD or Master’s degree and 4+ years of CS, CE, ML or related field experience Experience programming in Java, C++, Python or related language Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing Preferred Qualifications Experience using Unix/Linux Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually #J-18808-Ljbffr