Applied Scientist, Prime Video - Generative AI

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 subscriptions such as Apple TV+, HBO Max, Peacock, 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. Key job responsibilities As an Applied Scientist at Prime Video, you will have end‑to‑end ownership of the product, related research and experimentation, applying advanced machine learning techniques in computer vision (CV), Generative AI, multimedia understanding and so on. Responsibilities Research and develop generative models for controllable synthesis across images, video, vector graphics, and multimedia. Innovate in advanced diffusion and flow‑based methods (e.g., inverse flow matching, parameter efficient training, guided sampling, test‑time adaptation) to improve efficiency, controllability, and scalability. Advance visual grounding, depth and 3D estimation, segmentation, and matting for integration into pre‑visualization, compositing, VFX, and post‑production pipelines. Design multimodal GenAI workflows including visual‑language model tooling, structured prompt orchestration, agentic pipelines. A day in the life Prime Video is pioneering the use of Generative AI to empower the next generation of creatives. Our mission is to make world‑class media creation accessible, scalable, and efficient. We are seeking an Applied Scientist to advance the state of the art in Generative AI and to deliver these innovations as production‑ready systems at Amazon scale. Your work will give creators unprecedented freedom and control while driving new efficiencies across Prime Video’s global content and marketing pipelines. This is a newly formed team within Prime Video Science! 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 related language. Experience in generative models (diffusion, flow, transformers). Hands‑on experience with image/video synthesis and editing techniques. Proficiency in PyTorch and modern DL toolkits (e.g., Hugging Face ecosystem). Preferred Qualifications Experience in professional software development. Publications in top‑tier AI/ML/Graphics Conferences (CVPR, ICCV/ECCV, SIGGRAPH, NeurIPS, ICLR). Experience with controllable generation methods, including emerging approaches (familiarity with LoRA/ControlNet, parameter‑efficient tuning, or test‑time training a plus). Expertise in one or more of: harmonization, relighting, style transfer, lip‑sync, segmentation, matting, depth estimation, 3D camera/scene modeling. 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. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. USA, NY, New York – 172,400.00 – 223,400.00 USD annually Job ID: A10431449 #J-18808-Ljbffr Prime Video & Amazon MGM Studios