Applied Scientist Ii, Prime Video Personalization and Discovery Science

Amazon Amazon · Big Tech · Sunnyvale, CA · Applied Science

Applied Scientist II at Amazon Prime Video focusing on personalization and discovery. The role involves developing foundation models for content understanding (video, text) and customer behavior prediction using deep learning and multimodal techniques. Responsibilities include building time sequence models, end-to-end solution implementation with engineers and product managers, designing and conducting A/B experiments, and publishing research findings. The team works on recommendation science for Prime Video surfaces and devices, aiming to solve cold-start problems and discover niche customer interests.

What you'd actually do

  1. Develop foundation models for content understanding using state-of-the-art deep learning and multimodal learning techniques to analyze video and text
  2. Build time sequence foundation models to understand and predict customer behavior patterns and viewing trajectories
  3. Work closely with engineers and product managers to design, implement and launch solutions end-to-end across various Prime Video experiences
  4. Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses
  5. Effectively communicate technical and non-technical ideas with teammates and stakeholders

Skills

Required

  • 3+ years of building models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field 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

Nice to have

  • Experience using Unix/Linux
  • Experience in professional software development

What the JD emphasized

  • Publish your research findings in top conferences and journals

Other signals

  • Develop foundation models for content understanding using state-of-the-art deep learning and multimodal learning techniques to analyze video and text
  • Build time sequence foundation models to understand and predict customer behavior patterns and viewing trajectories
  • Work closely with engineers and product managers to design, implement and launch solutions end-to-end across various Prime Video experiences
  • Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses
  • Publish your research findings in top conferences and journals