Amazon
Applied Science Manager, Stores-Ads Science
$184K–$249K
Seattle, WA +1 · Manager · Full-time · Posted Jun 18, 2026
- Location
- Seattle, WA
SEATTLE, WA - Experience
- 4+ years of applied research; 3+ years managing scientists or machine learning engineers; 3+ years building machine learning models for business applications. PhD, or Master's degree and 6+ years of applied research experience.
- Education
- PhD, or Master's degree and 6+ years of applied research experience.
About the job
Leads a science team developing causal measurement and optimization methods to understand and improve advertising’s impact on shoppers, selling partners, and marketplace outcomes.
What you'll do
- Set the technical vision and research roadmap for ads impact measurement and optimization; lead and develop scientists.
- Design causal experiments and develop optimization algorithms that incorporate causal signals into production systems and business decisions.
- Communicate research and recommendations to senior leadership and partner across engineering, product, and other organizations.
What they ask for
- Knowledge of ML, NLP, Information Retrieval, and Analytics.
- Experience programming in Java, C++, Python, or a related language.
Nice to have
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and model-execution optimization.
- Experience with causal modeling, experiments, quasi-experiments, and data science workflows.
Pay
183,800.00 - 248,700.00 USD annually (base salary)
Tools
ML, NLP, Information Retrieval, Analytics, Java, C++, Python, Large Language Model
AI focus
Develops methods to encode causal and economic reasoning into AI systems and optimization algorithms for advertising and evolving LLM-powered, agentic commerce.
Model-written summary · the original posting is authoritative