Amazon
Applied Scientist, AI Security
$143K–$193K
Austin, TX · Full-time · Posted Sep 22, 2026
- Experience
- 3+ years building models for business application; PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Education
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
About the job
Researches and productionizes AI systems that detect, validate, prioritize, and help remediate security vulnerabilities in source code and cloud configurations.
What you'll do
- Develop scalable methods and models for AI security problems, including vulnerability detection and remediation guidance.
- Design experiments, evaluation datasets, and metrics; investigate model behavior and improve precision, recall, and remediation quality.
- Lead cross-functional development of AI systems for source-code analysis and security validation.
What they ask for
- 3+ years of building models for business application experience.
- 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.
- Programming experience in Java, C++, Python or a related language; experience in at least one listed area: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
Nice to have
- Experience using Unix/Linux.
- Experience in professional software development.
Pay
142,800.00 - 193,200.00 USD annually (base salary)
Tools
Java, C++, Python, Unix/Linux, large language models
AI focus
Develops and evaluates machine learning and agentic systems using large language models, program analysis, and security knowledge to detect vulnerabilities, assess severity, reduce false positives, and generate remediation guidance.
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