Senior Applied Scientist - ML Security Analytics

Amazon; New York (NY); On-site; USD 184,000 - 249,000; Full time

Job summary

Amazon Data Services, Inc.'s AppStar DNA team seeks an Applied Scientist III to invent and deliver ML-driven systems that prioritize and mitigate security risk at scale. You will work with large-scale data spanning application metadata, code signals, and vulnerability findings to build production ML pipelines and graph-based models that map security relationships across the enterprise.

Join a high-impact, collaborative team that values scientific rigor, experimentation, and results-driven

Qualifications

• 3+ years building ML models for business applications.
• PhD or MS with 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning

Responsibilities

• Lead the design, development, and deployment of ML models and scientific solutions for application security prioritization, complexity scoring, and risk assessment
• Frame ambiguous security problems into well-defined scientific challenges, proposing novel approaches when existing methodologies are insufficient
• Architect and implement production-grade ML pipelines (feature extraction, model training, scoring, deployment) on AWS services (S3, Glue, SageMaker, Neptune)
• Develop and extend graph-based models that capture security-relevant relationships between applications, services, teams, and vulnerabilities
• Drive the team's scientific agenda by proposing new research initiatives, conducting experiments, and iterating on models using rigorous evaluation methodologies
• Partner with security engineers, data engineers, and TPMs to translate model outputs into actionable intelligence for security review programs
• Establish and raise the bar for scientific rigor: peer review code and designs, set best practices for experimentation, and document findings for reproducibility
• Publish results internally and externally at peer-reviewed venues when appropriate

Skills

Machine learning

Java

C++

Python

Deep learning

Education

PhD

Master's + 6 yrs

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job description

Amazon Data Services, Inc.'s AppStar DNA team seeks an Applied Scientist III to invent and deliver ML-driven systems that prioritize and mitigate security risk at scale. You will work with large-scale data spanning application metadata, code signals, and vulnerability findings to build production ML pipelines and graph-based models that map security relationships across the enterprise.

Join a high-impact, collaborative team that values scientific rigor, experimentation, and results-driven