Applied Scientist, Prime Video - Generative AI (Video)
Core
Applied Scientist advancing state-of-the-art Generative AI and delivering production-ready systems at Amazon scale to empower media creation.
Role type
Senior Applied Scientist (Generative AI / Computer Vision)
Builds
Foundational technology stack for diffusion, flow-matching, 3D/4D scene generation, and multimodal GenAI workflows for Prime Video.
Domain
Generative AI, Computer Vision, Multimedia Understanding, Video Synthesis
Deliverable
production ML models
Required skills
Generative models (diffusion, flow, transformers), Image/video synthesis and editing, Advanced machine learning techniques, Computer Vision, Multimodal workflows, Visual grounding, Depth estimation, 3D estimation, Segmentation, Matting, Prompt orchestration, Agentic pipelines
Preferred skills
Controllable generation methods (LoRA, ControlNet), Parameter-efficient tuning, Test-time training, Publications in top-tier AI/ML/Graphics Conferences (CVPR, ICCV/ECCV, SIGGRAPH, NeurIPS, ICLR)
Technologies
Java, C++, Python, Diffusion models, Flow-matching models, Transformers
Responsibilities
Research and develop generative models for controllable synthesis across images, video, vector graphics, and multimedia; Innovate in advanced diffusion and flow-based methods 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 and structured prompt orchestration.
Seniority
Senior, hands-on IC
