Applied Scientist - Generative AI for Video & Multimedia

Amazon Science

Sunnyvale (CA)

On-site

USD 172,000 - 222,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Prime Video is seeking an Applied Scientist to advance Generative AI and deliver production-ready GenAI systems at Amazon scale. You will own the product, research, and experiments end-to-end, applying advanced ML techniques in Computer Vision, Multimedia Understanding, and Generative AI.

You will work on fast-paced, challenging projects, collaborating with world-class teams to shape the future of entertainment technology.

Qualifications

  • PhD or MS with 4+ years in CS/CE/ML or related field.
  • Experience programming in Java, C++, Python or related language.
  • 3+ years building models for business applications.
  • Experience in generative models (diffusion, flow, transformers).
  • Hands-on experience with image/video synthesis and editing techniques.

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

Java
C++
Python
Machine Learning

Education

PhD or MS with 4+ years in CS/CE/ML

Tools

Diffusion models
ControlNet
LoRA

Job description

Amazon Prime Video is seeking an Applied Scientist to advance Generative AI and deliver production-ready GenAI systems at Amazon scale. You will own the product, research, and experiments end-to-end, applying advanced ML techniques in Computer Vision, Multimedia Understanding, and Generative AI.

You will work on fast-paced, challenging projects, collaborating with world-class teams to shape the future of entertainment technology.

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