Applied Scientist, AI Security & Real-Time Monitoring

Amazon Science; Seattle (WA); On-site; USD 143,000 - 193,000; Full time

Job summary

Amazon Security is seeking an Applied Scientist to advance security validation and monitoring techniques for AI systems at scale. You will own multiple work streams, including real-time agent monitoring, protection and automated remediation, validation of AI capabilities, and comprehensive AI asset discovery across the company.

Responsibilities include framing new research challenges, contributing to the scientific agenda, publishing results in peer-reviewed venues when appropriate, and

Qualifications

• 3+ years building models for business applications.
• PhD or Master's degree with 4+ years in CS/CE/ML.
• Experience in patents or publications at top-tier venues.
• Proficiency in Java, C++, Python or related language.
• Experience with algorithms, data structures, parsing, optimization, data mining, HPC.

Responsibilities

• Identify and frame research challenges in AI security at the product level.
• Contribute to the team’s scientific agenda across monitoring, protection, remediation, and asset discovery.
• Publish results at peer-reviewed venues when appropriate.
• Design and deliver security solutions into production, both new and evolved systems.
• Write substantial portions of production code for detection, validation, and asset classification.

Skills

Modeling for business applications

Java/C++/Python

AI security

Algorithms & data structures

Research publication experience

Education

PhD or Master's with 4+ years CS/CE/ML

Tools

Unix/Linux

Professional software development

Job description

Amazon Security is seeking an Applied Scientist to advance security validation and monitoring techniques for AI systems at scale. You will own multiple work streams, including real-time agent monitoring, protection and automated remediation, validation of AI capabilities, and comprehensive AI asset discovery across the company.

Responsibilities include framing new research challenges, contributing to the scientific agenda, publishing results in peer-reviewed venues when appropriate, and