Real-Time ML Security Systems Engineer

Amazon; Maryland; On-site; USD 144,000 - 194,000; Full time

Job summary

Amazon Security is seeking a skilled software engineer to build and deploy real-time machine learning models that protect AWS locations worldwide. You will partner with Applied Scientists to transform research into production-grade inference pipelines, owning training, serving, monitoring, and iterative improvement of models at scale.

You will design low-latency distributed systems for model serving, develop computer vision pipelines for threat detection, and maintain IaC for all ML and

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of design or architecture experience for new and existing systems.
• Experience with Machine Learning and Large Language Model fundamentals, including training/inference lifecycles.
• 1+ years of designing and developing large-scale distributed software applications using C#, C++, Java, or Perl.
• Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
• Knowledge of machine learning model architecture and inference.

Responsibilities

• Build and deploy machine learning models that automate real-time security decisions across all AWS regions.
• Partner with Applied Scientists to operationalize research models into production-grade inference pipelines.
• Own the full ML model lifecycle: training infrastructure, real-time serving, monitoring, retraining, and iteration.
• Design and implement low-latency, high-reliability distributed systems for model serving at scale.
• Build computer vision pipelines that process video and image data for automated threat detection.
• Develop and maintain Infrastructure as Code (IaC) for all ML and application infrastructure.
• Monitor model performance in production, identify drift, and drive continuous improvement.
• Contribute to system design and architecture decisions that balance innovation with operational excellence.
• Participate actively in code reviews, providing meaningful feedback to peers and senior engineers.
• Collaborate cross-functionally with security operations, hardware, and product teams to define requirements.
• Drive operational excellence through automation, runbooks, and proactive risk mitigation.
• Mentor team members and contribute to a culture of knowledge sharing and technical growth.

Skills

Software development

System design

ML fundamentals

Distributed systems

ML inference

Education

Bachelor's degree in CS/Engineering/Math

Bachelor’s degree in CS or equivalent

Job description

Amazon Security is seeking a skilled software engineer to build and deploy real-time machine learning models that protect AWS locations worldwide. You will partner with Applied Scientists to transform research into production-grade inference pipelines, owning training, serving, monitoring, and iterative improvement of models at scale.

You will design low-latency distributed systems for model serving, develop computer vision pipelines for threat detection, and maintain IaC for all ML and