Senior Applied Scientist, Generative AI for Video Platform

Amazon Science

Sunnyvale (CA)

On-site

USD 192,000 - 260,000

Full time

7 hours ago
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Job summary

Amazon Science is seeking an Applied Scientist for Prime Video to own product and research in Generative AI across multimedia content. You will drive end-to-end research, model development, and production-ready systems at scale, collaborating with teams across Prime Video’s global platforms.

The role emphasizes cutting-edge generative models, diffusion and 3D understanding, with opportunities to impact content localization, personalization, and VFX pipelines.

Qualifications

  • PhD or Master's with 6+ years of applied research experience.
  • 3+ years of building ML 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.

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 and controllability.
  • Advance visual grounding, depth and 3D estimation, segmentation, and matting for VFX pipelines.
  • Design multimodal GenAI workflows including visual-language model tooling and orchestration.

Skills

ML model development
Java
C++
Python
Diffusion/GenAI

Education

PhD or MS + 6+ years applied research

Tools

PyTorch
Hugging Face

Job description

Amazon Science is seeking an Applied Scientist for Prime Video to own product and research in Generative AI across multimedia content. You will drive end-to-end research, model development, and production-ready systems at scale, collaborating with teams across Prime Video’s global platforms.

The role emphasizes cutting-edge generative models, diffusion and 3D understanding, with opportunities to impact content localization, personalization, and VFX pipelines.

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