Applied Scientist II, IESP Digital Payments

Do you like working on projects that are highly visible and are tied closely to Amazons growth Are you seeking an environment where you can drive innovation leveraging the scalability and innovation with Amazons AWS cloud services The Amazon IESP Digital Payments & Emerging Team is hiring Applied Scientists to work in our Machine Learning team in São Paulo Brazil. The Payments team designs and builds scalable payment systems that power Amazons checkout and financial services across emerging countries (Brazil Mexico Australia Singapore and more). We tackle complex challenges in payment orchestration fraud detection and regional payment method integration to drive conversion and deliver seamless experiences at scale.

Key job responsibilities
About you
You want to make changes that help millions of customers. You dont want to make something 10% better as a part of an enormous team. Rather you want to innovate with a small community of passionate peers. You have experience in analytics machine learning LLMs and Agentic AI and a desire to learn more about these subjects. You want a trusted role in strategy and product design. You put the customer first in your thinking. You have great problem solving skills. You research the latest data technologies and use them to help you innovate and keep costs low. You have great judgment and communication skills and a history of delivering results.
Your Responsibilities
- Define and own complex machine learning solutions in the consumer space including targeting measurement creative optimization and multivariate testing.
- Design implement and evolve Agentic AI systems that can autonomously perceive their environment reason about context and take actions across business workflowswhile ensuring human-in-the-loop oversight for high-stakes decisions.
- Influence the broader teams approach to integrating machine learning into business workflows.
- Advise leadership both tech and non-tech.
- Support technical trade-offs between short-term needs and long-term goals.

- Experience in building models for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing

- Experience using Unix/Linux
- Experience in professional software development
- PhD or Masters degree and 4 years of CS CE ML or related field experience

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