Applied Scientist, Prime Video - Generative AI Job ID: | 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 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 you!
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.
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 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.
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