Applied Scientist — AI Security & Real-Time Monitoring

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

Job summary

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

The role involves building production‑grade security solutions, publishing findings when appropriate, and collaborating with security engineers and scientists.

Qualifications

• 3+ years of building models for business applications.
• 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 algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing.
• Experience using Unix/Linux.
• Experience in professional software development.

Responsibilities

• Identify and frame new research challenges in AI security where problems are ill‑defined and require novel scientific paradigms at the product level.
• Contribute to the team’s scientific agenda for agent monitoring, protection, remediation, validation research, and AI asset discovery.
• Publish research results at peer‑reviewed internal and external venues (e.g., USENIX Security, ACM CCS, IEEE S&P, NeurIPS, ICML security workshops, ICSE, PETS) when appropriate.
• Articulate key scientific challenges of current and future AI security threats and deliver novel research to address them.
• Design, implementation, and successful delivery of scientifically complex security solutions into production—both brand new systems and evolutions of existing ones.
• Write significant portions of critical‑path code for detection models, validation engines, protection technologies, and asset discovery / classification systems.
• Assess and select appropriate technologies for production systems.
• Use best practices in scientific methodology and software engineering across the team; provide insightful peer reviews of code, design, and architecture artifacts.
• Deliver solutions that are inventive, maintainable, scalable, and extensible.

Skills

Building models

Programming languages

Peer-reviewed publications

Security

Education

PhD or MS + 4+ years CS/ML

Master’s degree in ML/CS

Tools

Java

C++

Python

Job description

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

The role involves building production‑grade security solutions, publishing findings when appropriate, and collaborating with security engineers and scientists.