GenAI Security Scientist: Threat Detection at Scale

Amazon

Annapolis (MD)

On-site

USD 143,000 - 193,000

Full time

6 days ago
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Job summary

Amazon Security is seeking an Applied Scientist to develop GenAI/ML-based security services for the AWS cloud, focusing on threat detection and automated mitigation at scale. You will collaborate with software engineers and security experts to deploy production-grade ML systems that protect Amazon’s infrastructure.

The role emphasizes innovation, ownership, and a high coding bar, with a flexible, results-driven work culture across Maryland and Virginia.

Qualifications

  • PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience.
  • 3+ years of building models for business applications.
  • 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, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Responsibilities

  • Design, build, and deploy AI/ML systems that process threat data at scale, running over large-scale security logs with real-time inference.
  • Expand and improve existing LLM agent pipelines for automated threat detection and response.
  • Conduct thorough data analyses and develop prototypes for detecting otherwise-unknown security problems.
  • Analyze post-mortems to understand what data signals could have prevented the occurrence.
  • Build data pipelines and ETL processes to handle massive security datasets.

Skills

Java
Python
C++

Education

PhD or Master’s +4 years CS/CE/ML

Tools

Unix/Linux
Software development

Job description

Amazon Security is seeking an Applied Scientist to develop GenAI/ML-based security services for the AWS cloud, focusing on threat detection and automated mitigation at scale. You will collaborate with software engineers and security experts to deploy production-grade ML systems that protect Amazon’s infrastructure.

The role emphasizes innovation, ownership, and a high coding bar, with a flexible, results-driven work culture across Maryland and Virginia.

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