AI Security Scientist: Code & Cloud Risk

Amazon; Austin (TX); On-site; USD 174,000 - 213,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Adoption and surrogacy reimbursement

Job summary

Amazon is seeking an Applied Scientist for its AI Security team to research, design, and productionize models that analyze source code and cloud configurations, delivering validated findings and remediation guidance. You will work with scientists, engineers, and partners to improve precision, severity assessment, and continuous scanning coverage.

The role emphasizes building scalable AI security solutions, evaluating models, and applying language models, program analysis, and security knowledge

Qualifications

• 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.

Responsibilities

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

Skills

Java

C++

Python

CS/CE/ML

Algorithms and data structures

Parsing

Numerical optimization

Parallel and distributed computing

High-performance computing

Education

PhD

MS/MA in CS/CE/ML

Tools

Unix/Linux

Job description

Amazon is seeking an Applied Scientist for its AI Security team to research, design, and productionize models that analyze source code and cloud configurations, delivering validated findings and remediation guidance. You will work with scientists, engineers, and partners to improve precision, severity assessment, and continuous scanning coverage.

The role emphasizes building scalable AI security solutions, evaluating models, and applying language models, program analysis, and security knowledge