Generative AI Scientist for Vision & Video

Amazon; New York (NY); On-site; USD 172,000 - 223,000; Full time

Job summary

Amazon Prime Video is seeking an Applied Scientist to own the research and production-ready GenAI systems at scale. You will apply advanced machine learning techniques in computer vision and multimodal settings to enhance content understanding and personalization.

You will tackle generative modeling, diffusion and flow methods, and integrate improvements into production pipelines across global content and marketing workflows, partnering with Prime Video Science teams.

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)

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.

Skills

Generative AI

Deep learning

Model development

Education

PhD

Master's degree

Tools

Java

C++

Python

PyTorch

Hugging Face

Job description

Amazon Prime Video is seeking an Applied Scientist to own the research and production-ready GenAI systems at scale. You will apply advanced machine learning techniques in computer vision and multimodal settings to enhance content understanding and personalization.

You will tackle generative modeling, diffusion and flow methods, and integrate improvements into production pipelines across global content and marketing workflows, partnering with Prime Video Science teams.