Drimva

Amazon

Applied Science Manager, Prime Video Personalization & Discovery

$184K–$286K

Sunnyvale, CA +1 · Manager · Full-time · Posted May 22, 2026

Location
Sunnyvale, CA
Seattle, WA
Experience
PhD, or Master's degree and 6+ years of applied research experience; also lists 4+ years of applied research experience, 3+ years of scientists or machine learning engineers management experience, and 3+ years building machine learning models for business applications.
Education
PhD, or Master's degree and 6+ years of applied research experience.

About the job

Leads a science team developing and launching AI-powered recommendation and personalization systems for Prime Video.

What you'll do

  • Lead development of AI solutions for recommendation and personalization systems.
  • Partner with engineering and product teams to design, implement, and launch AI solutions end to end.
  • Hire and grow a science team; communicate technical and non-technical ideas to stakeholders.

What they ask for

  • PhD, or a Master's degree and 6+ years of applied research experience.
  • 4+ years of applied research experience; 3+ years of scientists or machine learning engineers management experience; and 3+ years of building machine learning models for business applications.
  • Knowledge of ML, NLP, Information Retrieval, and Analytics.
  • Programming experience in Java, C++, Python, or a related language.

Nice to have

  • Experience delivering complex software systems to customers, especially involving deep learning, machine learning, and computer vision.

Pay

USD 211,400.00 - 286,000.00 annually (base salary); USD 183,800.00 - 248,700.00 annually (base salary)

Tools

Deep learning, GenAI, Reinforcement Learning, recommendation system, optimization methods, ML, NLP, Information Retrieval

AI focus

Develop and launch AI solutions for Prime Video recommendation and personalization using deep learning, GenAI, reinforcement learning, recommendation systems, and optimization methods.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)