Applied Scientist, Prime Video - Personalization and Discovery Science

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

Applied Scientist role at Amazon Prime Video focusing on personalization and discovery science. The role involves developing AI solutions for search systems using deep learning, GenAI, and reinforcement learning, with end-to-end ownership from design to launch. It requires designing and conducting experiments, and publishing research findings. The team owns science solutions for search experience, including sourcing, relevance, and ranking.

What you'd actually do

  1. Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods
  2. Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end
  3. Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses
  4. Effectively communicate technical and non-technical ideas with teammates and stakeholders
  5. Stay up-to-date with advancements and the latest modeling techniques in the field

Skills

Required

  • 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

Nice to have

  • Experience using Unix/Linux
  • Experience in professional software development
  • Experience working on recommender systems or personalization within search, e-commerce, shopping, advertising or other related fields

What the JD emphasized

  • building models for business application experience
  • Publish your research findings in top conferences and journals

Other signals

  • Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods
  • Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end
  • 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