Applied Scientist — Generative AI for Prime Video

Prime Video & Amazon MGM Studios; Sunnyvale (CA); On-site; USD 172,000 - 222,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

RSUs

Job summary

Prime Video’s Applied Scientist role at Amazon.com Services LLC offers end-to-end ownership of state-of-the-art generative AI research and production-ready systems. You’ll work on computer vision, multimedia understanding, and GenAI workflows at Amazon scale.

You will contribute to diffusion, flow-based methods, and multimodal AI, delivering impactful experiences for Prime Video’s global content and marketing pipelines from a newly formed Prime Video Science team.

Qualifications

• PhD or Master’s degree in CS/CE/ML or related field.
• 3+ years of building models for business applications.
• Experience programming in Java, C++, Python or related language.
• Experience in generative models (diffusion, flow, transformers).

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 production pipelines.
• Design multimodal GenAI workflows including visual-language model tooling and orchestrated pipelines.

Skills

Java

C++

Python

PyTorch

Hugging Face

Generative models

Diffusion

Video synthesis

Multimodal

Education

PhD or Master’s in CS/CE/ML

Tools

Hugging Face ecosystem

DL toolkits

Job description

Prime Video’s Applied Scientist role at Amazon.com Services LLC offers end-to-end ownership of state-of-the-art generative AI research and production-ready systems. You’ll work on computer vision, multimedia understanding, and GenAI workflows at Amazon scale.

You will contribute to diffusion, flow-based methods, and multimodal AI, delivering impactful experiences for Prime Video’s global content and marketing pipelines from a newly formed Prime Video Science team.