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Applied Scientist II, International and Emerging Stores Payments
Amazon · Seattle, WA · Posted 24 days ago
Build generative-AI and ML systems that decide how millions of customers in underserved international markets pay, expanding financial access at Amazon scale.
Do you want to translate cutting-edge science into products that expand financial access for millions? At International and Emerging Stores Payments (IESP), we build payment solutions for communities and geographies that Amazon's selection and prices do not yet reach because of payment barriers. These markets make up roughly 80% of the world's countries and 85% of its population.
As an Applied Scientist II on our team, you will design, build, and ship machine learning and generative-AI solutions that remove those barriers and advance financial inclusion, working at the intersection of research and production alongside scientists, engineers, and economists. If you are a curious, self-motivated researcher who turns ambiguity into clarity, we would like to hear from you.
What you will work on:
- Build models that recommend the most suitable payment method for each customer—for example installments, cards, or local payment options—and identify the right customers to reach, balancing customer preference, cost, and risk.
- Take models to production behind a real-time, low-latency personalization layer that serves live shopping traffic at scale.
- Build multi-agent generative-AI systems that turn unstructured inputs—customer feedback, documents, and operational data—into reliable, decision-ready insight, with verification that guards against model hallucination.
- Help customers discover and adopt installments and alternative payment methods.
- Design and analyze large-scale online experiments and causal measurement to validate real customer and business impact.
Key job responsibilities
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This role is one of 132 Research Scientist openings in Seattle, WA and centers on Machine Learning, Python, Java, and C++. There are 17,473 open roles at Amazon right now.
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