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Prime Video & Amazon MGM Studios Logo

Applied Scientist, Prime Video - Generative AI

Prime Video & Amazon MGM Studios

$136,000 - $223,400
Nov 7, 2025
Sunnyvale, CA, United States of America
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Prime Video is looking to solve the problem of creating a best-in-class digital video experience for its customers, and is seeking an Applied Scientist to advance the state of the art in Generative AI and deliver innovations as production-ready systems at Amazon scale.

Requirements

  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • 3+ years of building models for business application experience
  • 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 (e.g., Hugging Face ecosystem)
  • Experience in professional software development
  • Publications in top-tier AI/ML/Graphics Conferences (CVPR, ICCV/ECCV, SIGGRAPH, NeurIPS, ICLR)

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.
  • Work on diverse projects that enhance Prime Video’s content localization, image/video understanding, and content personalization, driving impactful innovations for our global audience.

Other

  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Work safely and cooperatively with other employees, supervisors, and staff
  • Adhere to standards of excellence despite stressful conditions
  • Communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service
  • Follow all federal, state, and local laws and Company policies