Applied Scientist, Prime Video - Content Reasoning, Enrichment & Localization

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

Applied Scientist role at Amazon Prime Video focusing on building multi-modal machine learning technologies for video content enrichment and understanding. The role involves applying state-of-the-art NLP and computer vision research, particularly in vision-language models and long-context understanding, to power next-generation video understanding and search capabilities.

What you'd actually do

  1. Our team builds multi-modal machine learning technologies to enrich and understand video content.
  2. We aim not only to understand individual components within the content itself, but also their relationships to each other to provide a holistic and broader contextual understanding.
  3. This powers the next generation of video understanding and search capabilities for Prime Video.

Skills

Required

  • building models for business application
  • deep learning algorithms
  • computer vision algorithms
  • Python

Nice to have

  • Unix/Linux
  • professional software development
  • publications at top-tier peer-reviewed conferences or journals
  • Java
  • C++

What the JD emphasized

  • long-form content understanding
  • causal reasoning across extended temporal sequences

Other signals

  • multi-modal machine learning technologies
  • long-form content understanding
  • causal reasoning across extended temporal sequences
  • video understanding and search capabilities