Amazon
Applied Scientist II, Predictive Targeting
$143K–$193K
Seattle, WA · Full-time · Posted Oct 15, 2026
- Experience
- 3+ years building models for business applications; PhD, or Master's degree and 3+ years of applied research experience.
- Education
- PhD, or Master's degree and 3+ years of applied research experience.
About the job
Build and deploy machine-learning systems that optimize Amazon marketing targeting, measure its causal impact, and explain targeting decisions to business partners.
What you'll do
- Develop online optimization, reinforcement-learning, incrementality, and uplift models to improve targeting and spending decisions.
- Improve segment-based targeting models with new features, architectures, and automated feedback loops; help build agentic components that explain decisions.
- Design experiments, deploy and maintain production models with engineers, and communicate results and recommendations.
What they ask for
- 3+ years of building models for business applications.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- Programming experience in Java, C++, Python, or a related language; experience in at least one listed area such as numerical optimization, data mining, or algorithms and data structures.
- PhD, or Master's degree and 3+ years of applied research experience.
Nice to have
- Experience using Unix/Linux or in professional software development.
- Experience with production reinforcement learning or online optimization, or defining benchmarks for GenAI model performance.
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
Java, C++, Python, Unix/Linux
AI focus
Develop targeting models using online optimization and reinforcement learning, and contribute to agentic workflows that explain decisions and propose science-driven solutions.
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