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Prime Video & Amazon MGM Studios Logo

Applied Scientist II, Prime Video Recommendation/Search Science

Prime Video & Amazon MGM Studios

$136,000 - $223,400
Aug 28, 2025
Sunnyvale, CA, US
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Prime Video is looking to improve its recommendation and search systems by leveraging advanced machine learning techniques to provide a better customer experience and help users discover new content.

Requirements

  • 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

  • Self-motivated, passionate and resourceful Applied Scientist with Recommender System or Search Ranking or Ads Ranking experience
  • Bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers
  • 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