Amazon
Applied Scientist, AWS Insights & Optimization
$143K–$193K
Seattle, WA · Full-time · Posted May 9, 2026
- Experience
- 3+ years building models for business applications; also requires a PhD, or a 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
Develop and deploy end-to-end models and algorithms that help AWS customers detect cost anomalies, forecast spending, optimize resource usage, and use AI-powered experiences to understand their AWS costs.
What you'll do
- Develop, test, evaluate, and deploy models for cost anomaly detection, forecasting, rightsizing, Savings Plans optimization, and AI-powered agent experiences.
- Define evaluation metrics and testing strategies to assess model quality before and after production.
- Collaborate with scientists, engineers, and product teams to improve models and solve customer problems.
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.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- Experience programming in Java, C++, Python or related language; and experience in at least one listed area: 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
142,800.00 - 193,200.00 USD annually (base salary)
Tools
Java, C++, Python, Unix/Linux, EC2, EBS, Lambda, ECS
AI focus
Develop or improve AI-powered conversational and agent experiences, including LLM evaluation science and agent memory architectures for persistent, adaptive behavior across sessions.
Model-written summary · the original posting is authoritative