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

Amazon • Seattle, WA

22h

About The Position

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.

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.

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.

Requirements

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• 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

Nice To Haves

• Experience using Unix/Linux
• Experience in professional software development

Responsibilities

• 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

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level