Sr. Applied Scientist, Prime Video - Personalization and Discovery Science

Amazon

Sunnyvale, CA, US
192,200.00 - 260,000.00 usd annually py
On-site
Deep learning and multimodal learning techniques
Time sequence foundation models development
Design and conduct a/b experiments
Amazon is seeking a Sr. Applied Scientist for its Prime Video team in Sunnyvale, CA, to enhance personalization and discovery through advanced machine learning techniques. The role involves developing foundation models for content understanding and predicting customer behavior, alongside collaboration with engineers and product managers

Job Summary

  • You will build and guide machine learning models from the ground up to analyze video, audio, and text using state-of-the-art deep learning.
  • The role involves designing and conducting offline and online A/B experiments to evaluate solutions based on in-depth data analyses.
  • You will have the opportunity to publish your research findings in top conferences and journals while benefiting millions of customers worldwide.

Matching Summary

Match Score: 85

Amazon is seeking a Sr. Applied Scientist for its Prime Video team in Sunnyvale, CA, to enhance personalization and discovery through advanced machine learning techniques. The role involves developing foundation models for content understanding and predicting customer behavior, alongside collaboration with engineers and product managers.

Salary

192,200.00 - 260,000.00 USD annually

Skills & Requirements

Must-have

  • Deep learning and multimodal learning techniques
  • Time sequence foundation models development
  • Design and conduct A/B experiments
  • End-to-end machine learning model implementation
  • Publish research findings in top conferences

Nice-to-have

  • Diverse perspectives and ideas
  • Self-motivated and resourceful attitude
  • Collaboration with engineers and product managers
  • Experience with fast-paced challenging projects
  • Ability to take risks and experiment

Key Requirements

  • Hands-on machine learning practitioner experience
  • Research leader capabilities
  • Expertise in foundation models and multimodal learning

Work Rights

Not specified

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