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# Applied Scientist, End User Messaging, AWS Applied AI Solutions Core Services

- **Company:** Amazon.com, Inc.
- **Location:** Seattle, WA, United States
- **Salary:** $136,000.0 - $184,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, C++ (Programming Language), Cloud Computing Security, Data Warehousing, Relational Databases, Fraud Prevention and Detection, Geospatial Intelligence, Python (Programming Language), Machine Learning, Oracle (Applications), SQL Databases, Large Language Models, Deep Learning
- **Published:** July 10, 2026
- **Apply:** https://www.amazon.jobs/en/jobs/10469973/applied-scientist-end-user-messaging-aws-applied-ai-solutions-core-services

## About the Role

Experience programming in Java, C++, Python or related language

 - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse

Preferred Qualifications

 - Experience implementing algorithms using both toolkits and self-developed code
 - Have publications at top-tier peer-reviewed conferences or journals

## Description

Develop advanced machine learning approaches and agentic systems that autonomously adapt to evolving threat patterns across cloud communication services

 - Create behavioral detection models that quickly identify malicious patterns after onboarding rather than creating friction during signup
 - Design intelligent resource allocation algorithms that optimize service delivery based on real-time feedback
 - Develop frameworks operating at scale across diverse usage patterns, analyzing hundreds of thousands of daily active customers
 - Research novel approaches combining AI agents with trust and safety systems to solve complex security problems
 - Collaborate with engineering teams to integrate science components into production systems
 - Conduct rigorous experimentation and establish evaluation frameworks to measure solution performance

A day in the life
As an Applied Scientist, you'll develop fraud detection algorithms and AI-powered security systems while maintaining a clear path to customer impact. You'll investigate novel approaches to behavioral analysis, develop methods for real-time reputation assessment, and validate ideas through rigorous experimentation. You'll collaborate with other scientists and engineers to transform research insights into scalable solutions, work directly with enterprise customers to understand requirements, and help shape the future of cloud security technology.

About the team
Our team is a central science organization supporting multiple product teams across AWS Core Services. We tackle fundamental challenges in AI and machine learning that require novel approaches beyond off-the-shelf solutions. Working at the intersection of machine learning, large language models, and domain-specific applications, we develop practical techniques that advance the state-of-the-art while maintaining a clear path to customer impact. Our team builds deep domain expertise across geospatial intelligence, trust and safety systems, autonomous operations, and other critical areas, collaborating closely with engineering teams to transform research insights into scalable production solutions.


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