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

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.

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

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually

As part of the AWS Applied AI Solutions organization, we’re advancing the frontier of trust and safety systems for cloud-based communication services. Our vision is to be the trusted foundation for transforming every business with Amazon AI teammates. Our mission is to deliver turnkey, enterprise-grade foundational AI capabilities that create delightful AI powered solutions. We’re building sophisticated AI systems that protect infrastructure from evolving threats while enabling legitimate high-volume users to operate without friction, with messaging services at scale as a key application area.