Applied Scientist - Generative AI & Vision for Prime Video

Prime Video & Amazon MGM Studios; Culver City (CA); On-site; USD 143,000 - 193,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

RSUs

Job summary

Prime Video, operated by Prime Video & Amazon MGM Studios, is seeking an Applied Scientist to own end-to-end product development, research, and experimentation in generative AI for video and multimedia. You will drive innovations in CV, content localization, and personalization at Amazon scale, collaborating with a global team of researchers and engineers.

The role focuses on building production-ready GenAI workflows, diffusion/flow-based methods, and multimodal pipelines to empower creators and

Qualifications

• PhD or Master’s degree plus 4 years of CS/CE/ML or related field experience
• 3 years of building models for business applications
• 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 diffusion and flow-based methods to improve efficiency, controllability, and scalability
• Advance visual grounding, depth and 3D estimation, segmentation, and matting for pipelines
• Design multimodal GenAI workflows including visual-language model tooling and orchestration

Skills

Java

C

Python

Generative models

Image/video synthesis

PyTorch

Hugging Face ecosystem

Education

PhD in CS/CE/ML

Master’s degree in CS/CE/ML with 4+ years experience

Tools

Hugging Face

Job description

Prime Video, operated by Prime Video & Amazon MGM Studios, is seeking an Applied Scientist to own end-to-end product development, research, and experimentation in generative AI for video and multimedia. You will drive innovations in CV, content localization, and personalization at Amazon scale, collaborating with a global team of researchers and engineers.

The role focuses on building production-ready GenAI workflows, diffusion/flow-based methods, and multimodal pipelines to empower creators and