Amazon
Applied Scientist, Linear Personalization Experience Team (LPEX)
$143K–$193K
Sunnyvale, CA +2 · Full-time · Posted Sep 9, 2026
- Location
- Sunnyvale, CA
Seattle, WA
SEATTLE, WA - Experience
- 3+ years building models for business applications; alternatively, a Master's degree plus 4+ years of CS, CE, ML or related field experience is required alongside the degree requirement.
- Education
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
About the job
Build and deploy machine-learning personalization and recommendation systems that help Prime Video viewers discover relevant linear TV programming.
What you'll do
- Own the machine-learning lifecycle from problem formulation and data analysis through evaluation and production deployment.
- Design and optimize real-time recommendation systems and run experiments to measure recommendation quality and viewer engagement.
- Partner with engineering and product teams on production infrastructure, and mentor scientists and engineers.
What they ask for
- 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.
- Programming experience in Java, C++, Python or related language.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
Nice to have
- Experience in state-of-the-art deep learning model architecture design, deep learning training and optimization, and model pruning.
- Experience building complex recommendation or personalization systems delivered to customers at significant scale.
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
Java, C++, Python
AI focus
Develop AI-powered machine-learning recommendation and personalization systems for linear TV, including real-time content recommendations and viewer engagement optimization.
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