Amazon
Applied Scientist, Sponsored Products and Brands
$143K–$223K
Seattle, WA +3 · Full-time · Posted Sep 14, 2026
- Location
- Seattle, WA
New York, NY
SEATTLE, WA
Palo Alto, CA - Experience
- 3+ years building models for business applications; PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Education
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
About the job
Develops and deploys machine-learning and generative-AI systems that infer shopper intent and preferences, improve advertising experiences, and measure customer and business impact.
What you'll do
- Use generative AI and LLMs to analyze behavioral data and derive shopper insights.
- Build and deploy scalable models and real-time GenAI systems for shopper intent and preference modeling.
- Conduct applied research and A/B experiments to improve shopper experience and advertising performance.
What they ask for
- 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.
- Programming experience in Java, C++, Python or a 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 using Unix/Linux.
- Experience in professional software development.
Pay
171,600.00 - 222,200.00 USD annually (base salary); 172,400.00 - 223,400.00 USD annually (base salary); 142,800.00 - 193,200.00 USD annually (base salary)
Tools
Generative AI, Large Language Models (LLMs), Java, C++, Python, Unix/Linux, RAG
AI focus
Applied generative AI and LLM research and development, including shopper insight mining, intent and preference modeling, fine-tuning, RAG, agentic workflows, and real-time production systems.
Model-written summary · the original posting is authoritative