Amazon
Applied Scientist II, International and Emerging Stores Payments
$143K–$193K
Seattle, WA · Full-time · Posted Oct 18, 2026
- Experience
- 3+ years building models for business applications; PhD, or Master’s degree and 4+ years of experience in CS, CE, ML, or a related field.
- 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 and generative-AI payment solutions that help customers in international markets find and adopt suitable payment methods, while measuring customer and business impact.
What you'll do
- Develop, evaluate, and productionize models for payment recommendations and customer targeting, including real-time personalization.
- Build multi-agent generative-AI systems that turn unstructured data into decision-ready insights, with hallucination verification.
- Run large-scale online experiments and causal analyses; collaborate with engineering and science teams, and contribute to research, roadmaps, and mentoring.
What they ask for
- 3+ years of building models for business applications.
- PhD, or Master’s degree and 4+ years of experience in CS, CE, ML, or a related field.
- Programming or scripting experience in Python, Java, C, or C++.
- Experience solving business problems using machine learning, data mining, and statistical algorithms.
Nice to have
- Published research or patent work; experience building large-scale machine-learning models and personalization.
- Experience communicating technical findings and recommendations to technical and non-technical audiences.
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
Python, Java, C, C++
AI focus
Develop machine-learning and deep-learning payment models, real-time personalization, and multi-agent generative-AI systems with verification to reduce hallucinations.
Model-written summary · the original posting is authoritative