About the Role

This Applied Scientist role at Prime Video focuses on advancing Generative AI technologies for media creation and content personalization. The position involves end-to-end ownership of research and experimentation with computer vision, generative models, and multimodal AI workflows to enhance Prime Video's global content pipelines.

Key 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 production pipelines
• Design multimodal GenAI workflows including visual-language model tooling and agentic pipelines
• Deliver production-ready Generative AI systems at Amazon scale for Prime Video's content and marketing pipelines

Required Skills & Qualifications

Must Have:

• 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)

Nice to Have:

• Experience in professional software development
• Publications in top-tier AI/ML/Graphics Conferences (CVPR, ICCV/ECCV, SIGGRAPH, NeurIPS, ICLR)
• Experience with controllable generation methods (LoRA/ControlNet, parameter-efficient tuning, test-time training)
• Expertise in harmonization, relighting, style transfer, lip-sync, segmentation, matting, depth estimation, 3D camera/scene modeling