Applied Scientist, Prime Video

3 settimane fa


Turin, Italia Vendita al dettaglio e all'ingrosso Import-export A tempo pieno

Applied Scientist, Prime Video - Generative AIJob ID: | Amazon.com Services LLCPrime 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.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 team member, 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 youKey Job ResponsibilitiesAs 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.You’ll work on diverse projects that enhance Prime Video’s content localization, image/video understanding, and content personalization, driving impactful innovations for our global audience. Other responsibilities include:Research and develop generative models for controllable synthesis across images, video, vector graphics, and multimediaInnovate 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 LifePrime 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 ScienceBasic QualificationsPhD, or Master's degree and 4+ years of CS, CE, ML or related field experience3+ years of building models for business application experienceExperience programming in Java, C++, Python or related languageExperience in generative models (diffusion, flow, transformers)Hands‑on experience with image/video synthesis and editing techniquesProficiency in PyTorch and modern DL toolkits (e.g., Hugging Face ecosystem)Preferred QualificationsExperience in professional software developmentPublications 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


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