Amazon is hiring: Applied Scientist II, Prime Video - Personalization and Discov

Applied Scientist II, Prime Video - Personalization and Discovery Science Job ID: 3118783 | 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, whether or not they have a Prime membership, can rent or buy titles via the Prime Video Store and 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 experiences. 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 work on fast‑paced, challenging, and varied projects, 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. Key job responsibilities Develop ML models for various recommendation and search systems using deep learning, online learning, and optimization methods. Collaborate closely with scientists, engineers, and product managers to deepen product insights with data and create experiments that determine high‑impact projects for roadmap planning. Stay up‑to‑date with advancements and the latest modeling techniques in the field. Publish research findings in top conferences and journals. A day in the life We use advanced approaches such as foundation models to connect information about our videos and customers from various sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This enables us to recommend titles effectively, even when we lack large behavioral signals, tackling the cold‑start title problem. It also allows us to discover niche interests, helping customers find groups of titles they might not yet know exist. We look for creative, customer‑obsessed machine‑learning scientists who can apply the latest research and state‑of‑the‑art algorithms to build highly scalable personalization solutions. You will be a research leader in this space, a hands‑on ML practitioner, and a guide collaborating with talented engineers and scientists across the Prime Video organization. You will also have the opportunity to publish at internal and external conferences. About the team Prime Video Recommendation Science team owns the science solution that powers recommendation and personalization experiences on various Prime Video surfaces and devices. We work closely with engineering teams to launch solutions in production. Basic Qualifications PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience. 3+ years of building models for business application experience. Experience programming in Java, C++, Python or a 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. Los Angeles County applicants: This role requires work safely and cooperatively with other employees, adhering to company policies and standards of excellence; effective communication and management of stress and safety are essential. Qualified applicants with arrest or conviction records may be considered under the Los Angeles County Fair Chance Ordinance. 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, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. Our compensation reflects labor costs across multiple U.S. geographic markets. The base pay for this position ranges from $136,000/year in the lowest geographic market to $223,400/year in the highest. Additional compensation may include equity, sign‑on payments, and other benefits. This position will remain posted until filled. Posted: October 31, 2025 #J-18808-Ljbffr