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Applied Scientist II, Prime Video Personalization and Discovery Science

Amazon.com

$136,000 - $223,400
Aug 20, 2025
Seattle, WA, US
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Prime Video is looking to improve its recommendation and personalization systems by developing advanced ML models, including the use of foundation models, to better connect video and customer information, tackle cold-start problems, and discover niche customer interests.

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 any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
  • Experience using Unix/Linux
  • Experience in professional software development

Responsibilities

  • Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods
  • Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps
  • Stay up-to-date with advancements and the latest modeling techniques in the field
  • Publish your research findings in top conferences and journals
  • Apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions
  • Be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization
  • Publish your research at internal and external conferences

Other

  • 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
  • exhibit trustworthiness and professionalism