Security ML Engineer: Real-Time Vision & Inference

Amazon; Herndon (VA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Security is hiring engineers to build intelligent systems that automate real-time security decisions across AWS regions. You will partner with Applied Scientists to productionize research models, own the full ML lifecycle from training to serving, and design low-latency, scalable infrastructure for model deployment.

You will collaborate with security operations, hardware, and product teams, driving operational excellence and mentoring teammates while shaping the architecture of

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
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
• 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
• 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 physical 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

Programming languages

CS degree

Education

Bachelor's degree or equivalent

CS/Engineering

Job description

Amazon Security is hiring engineers to build intelligent systems that automate real-time security decisions across AWS regions. You will partner with Applied Scientists to productionize research models, own the full ML lifecycle from training to serving, and design low-latency, scalable infrastructure for model deployment.

You will collaborate with security operations, hardware, and product teams, driving operational excellence and mentoring teammates while shaping the architecture of