Applied Scientist: Generative AI for Video

Amazon; San Francisco, Northern (CA, KY); Hybrid; USD 143,000 - 222,000; Full time

Job summary

Amazon's Prime Video is seeking an Applied Scientist to advance Generative AI for video content. You will own the product development, research, and production systems at scale, applying state-of-the-art ML to improve content localization, personalization, and quality across devices.

The role emphasizes end-to-end impact, collaboration with cross-functional teams, and publishing results. A PhD or Master’s with 4+ years of experience, strong PyTorch, and diffusion/transformers expertise are

Qualifications

• PhD or Master’s degree in a relevant field (CS/CE/ML)
• 4+ years of CS/CE/ML 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)

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 VFX pipelines
• Design multimodal GenAI workflows including visual-language model tooling and structured prompt orchestration

Skills

Java

C++

Python

Generative AI

PyTorch

Hugging Face

Video Synthesis

Diffusion Models

Education

PhD or Master’s in CS/CE/ML

4+ years CS/CE/ML experience

Tools

N/A

Job description

Amazon's Prime Video is seeking an Applied Scientist to advance Generative AI for video content. You will own the product development, research, and production systems at scale, applying state-of-the-art ML to improve content localization, personalization, and quality across devices.

The role emphasizes end-to-end impact, collaboration with cross-functional teams, and publishing results. A PhD or Master’s with 4+ years of experience, strong PyTorch, and diffusion/transformers expertise are