Applied Scientist, Prime Video - Generative AI

Key job responsibilities

• End-to-end ownership of the product, related research and experimentation
• Apply advanced machine learning techniques in computer vision (CV), Generative AI, multimedia understanding and so on
• Work on diverse projects that enhance Prime Video’s content localization, image/video understanding, and content personalization
• Drive impactful innovations for our global audience

Other 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.

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
• Publishations 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

About the role

With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!

Qualifications

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.

Benefits

Learn more about our benefits at https://amazon.jobs/en/benefits.