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

Amazon Web Services, Inc.4h ago
United StatesOnsiteFull-timeMid Level2+ yrs exp
H-1B verified · 2310 LCAs

Top focus

Applied Scientist
  • 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. Key job 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 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
  • 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
  • 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
  • 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
  • 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
  • Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
  • other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Required skills

PythonJavaC++SQLRDBMS
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