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Applied Scientist, Prime Video - Content Understanding and Enrichment Join to apply for the Applied Scientist, Prime Video - Content Understanding and Enrichment role at Prime Video & Amazon MGM Studios . Description Prime Video is a premier entertainment platform offering a vast collection of premium programming accessible across thousands of devices. Prime members can personalize their viewing experience and access movies, series, documentaries, and live sports—including Amazon MGM Studios-produced content, licensed favorites, and additional subscriptions like Apple TV+, Max, Crunchyroll, and MGM+. Non-Prime customers can rent or buy titles via the Prime Video Store and enjoy content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating top-tier digital video experiences. As a team member, you’ll own the product, user experience, design, and technology to deliver innovative experiences. You’ll work on challenging, fast-paced projects, experiment with new ideas, and collaborate with talented colleagues. We value diverse perspectives, ideas, and skills to enhance Prime Video for our customers. With global opportunities, you can determine your career path within Prime Video Tech. Key job responsibilities As an Applied Scientist in the Content Understanding Team, you will lead research and deployment of video and multi-modal models for various applications. Specifically, you will: Translate customer problems into scientific research and design solutions. Collaborate with scientists, engineers, and product managers to deepen product insights, develop experiments, and plan high-impact projects. Stay current with advancements in modeling techniques. Publish research in top conferences and journals. About The Team The Prime Video Content Understanding team develops holistic media representations (e.g., scene descriptions, semantic embeddings) for customer experiences and supply chain problems. Our technology covers the entire Prime Video catalog globally, enabling features like instant recaps, skip intro, ad placement, search, and content moderation. Basic Qualifications 3+ years of experience building models for business applications. PhD or Master’s degree with 4+ years of CS, CE, ML, or related experience. Proficiency in Java, C++, Python, or similar languages. Experience with computer vision techniques. Preferred Qualifications Experience with real-time video processing models. Amazon is an equal opportunity employer committed to diversity and inclusion. If you require workplace accommodations during the application process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations. #J-18808-Ljbffr