Applied AI Security Scientist: Flexible Code Vetting

Amazon Inc.; Seattle, Northern (WA, KY); Hybrid; USD 143,000 - 193,000; Full time

Job summary

Amazon.com Services LLC is seeking an Applied Scientist to join the AI Security team in Austin, Texas. You will research, build, and productionize ML models that analyze source code and cloud configurations to identify security vulnerabilities and generate remediation guidance at scale.

The role collaborates with security engineers, software engineers, and researchers to improve recall, precision, and remediation quality across Amazon's software estate, enabling AI-driven security analysis

Qualifications

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

Responsibilities

• Research and develop accurate and scalable methods for AI security problems.
• Lead cross-functional work to develop models and designs for AI systems that analyze source code and generate remediation guidance at Amazon scale.

Skills

Java

C++

Python

Algorithms & Data Structures

Parsing

Numerical Optimization

Data Mining

Parallel & Distributed Computing

High-Performance Computing

Education

PhD or Master's in CS/CE/ML or related field

Tools

Unix/Linux

Job description

Amazon.com Services LLC is seeking an Applied Scientist to join the AI Security team in Austin, Texas. You will research, build, and productionize ML models that analyze source code and cloud configurations to identify security vulnerabilities and generate remediation guidance at scale.

The role collaborates with security engineers, software engineers, and researchers to improve recall, precision, and remediation quality across Amazon's software estate, enabling AI-driven security analysis