The AppStar Data Analytics & Engineering (DNA) team within Amazon's Application Security organization is seeking a Machine Learning Engineer II to build, deploy, and scale ML systems that power how Amazon prioritizes and manages application security risk.
You will own the end-to-end ML lifecycle: training and tuning models, building robust data pipelines, deploying models into production, and monitoring their performance at scale. Our team builds risk-scoring models, complexity-assessment systems, and graph-based intelligence layers that directly determine which applications receive security attention. This is hands-on engineering with direct, measurable impact on Amazon's security posture.
The ideal candidate has strong software engineering fundamentals, experience deploying ML models in production environments, and a desire to work at the intersection of machine learning and security operations. You'll collaborate closely with applied scientists, data engineers, and security engineers to translate research into scalable, production-grade ML services on AWS.
Key job responsibilities
- Design, build, and maintain production ML pipelines (feature extraction, model training, scoring, serving) using AWS services such as SageMaker, Glue, S3, and Athena
- Implement and deploy ML models for application security risk scoring, complexity assessment, and classification at scale
- Develop scalable data processing systems that ingest, transform, and serve features from large-scale security datasets
- Architect distributed computing solutions for model training and inference, leveraging Spark/PySpark and AWS infrastructure
- Monitor model performance in production, implement drift detection, and drive continuous improvement through retraining and tuning
- Partner with applied scientists to operationalize research prototypes into reliable, maintainable production services
- Apply software engineering best practices: write testable, well-documented code, conduct peer reviews, and maintain operational excellence
- Contribute to the team's ML infrastructure and tooling to improve development velocity and model reliability
About the team
The Data Analytics & Engineering (DNA) team is a small, high-impact group within Amazon's Application Security organization. We build ML models, graph-based systems, and analytics platforms that determine how Amazon prioritizes security coverage across tens of thousands of applications. We're builders who ship production ML, embrace ambiguity in messy security data, and operate with high ownership.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also 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.
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
