Senior Applied Scientist, AWS Security

About the role

We build AI-powered tooling that enables security operations to scale with AWS's growth. Our portfolio includes generative AI incident response assistants, natural language-driven response, detection enrichment pipelines, and security data analytics platforms. Security analysts depend on these systems around the clock.

Responsibilities

• Define and own the science strategy for the team's AI-powered security automation portfolio, including model selection, evaluation methodology, and research direction.
• Design and implement LLM-powered systems for security incident triage, including retrieval-augmented generation, prompt engineering, and fine-tuning approaches that improve recommendation accuracy and reduce analyst toil.
• Build anomaly detection and classification models across security telemetry data sources to surface threats, reduce false positives, and prioritize analyst attention.
• Partner with software engineers to move models from experimentation to production. Define system-level technical requirements, guide adaptation to meet production constraints, and own model performance in deployment.
• Develop evaluation frameworks and metrics that measure model effectiveness against security outcomes, not just standard ML benchmarks.
• Mentor software and security engineers on ML best practices and raise the science bar across the team through design reviews, code reviews, and knowledge sharing.

Qualifications

• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
• Experience in applied research

Benefits

Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.