Lead Generative AI Scientist for Streaming Video

Amazon Inc.

Sunnyvale (CA)

On-site

USD 192,000 - 260,000

Full time

14 days+

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Job summary

Amazon.com Services LLC is seeking a Lead Applied Scientist for Prime Video to drive Generative AI initiatives in video creation and delivery. You will own end-to-end research, experiments, and production-ready systems at Amazon scale.

Lead research in computer vision, multimedia understanding, and GenAI; advance diffusion/flow-based methods and multimodal workflows for controllable synthesis across images and video. You will mentor teams and collaborate with product partners across devices.

Qualifications

  • 3+ years of building machine learning models for business applications.
  • PhD, or Master’s degree with 6+ years of applied research experience.
  • Experience programming in Java, C++, Python or related language.
  • Experience with neural deep learning methods and machine learning.

Responsibilities

  • Lead end-to-end product journey, research and experimentation for computer vision, multimedia understanding and Generative AI.
  • Lead 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.
  • Design multimodal GenAI workflows including visual-language model tooling and prompt orchestration.

Skills

ML model development
Programming: Java/C++/Python
Deep learning

Education

PhD or MS + 6+ years

Tools

Hadoop
Spark
TensorFlow
MxNet
scikit-learn

Job description

Amazon.com Services LLC is seeking a Lead Applied Scientist for Prime Video to drive Generative AI initiatives in video creation and delivery. You will own end-to-end research, experiments, and production-ready systems at Amazon scale.

Lead research in computer vision, multimedia understanding, and GenAI; advance diffusion/flow-based methods and multimodal workflows for controllable synthesis across images and video. You will mentor teams and collaborate with product partners across devices.

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