Real-Time ML Vision Engineer for Scalable Security

Relha LLC; Arlington, Northern (VA, KY); Hybrid; USD 144,000 - 194,000; Full time

Job summary

Amazon Optics is seeking a Software Development Engineer to build and deploy ML models that automate real-time security decisions across AWS regions. You will partner with Applied Scientists to operationalize research into production pipelines and own the full ML lifecycle from training to real-time serving.

You will design low-latency distributed systems for model serving at scale, develop computer vision pipelines for threat detection, and implement IaC for ML infrastructure.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of design or architecture experience of new and existing systems.
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles.
• 1+ years designing multi-tiered, distributed software apps 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 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 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

Machine Learning fundamentals

LLM fundamentals

Distributed systems design

Multithreaded software concepts

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Tools

C#

C++

Java

Perl

Job description

Amazon Optics is seeking a Software Development Engineer to build and deploy ML models that automate real-time security decisions across AWS regions. You will partner with Applied Scientists to operationalize research into production pipelines and own the full ML lifecycle from training to real-time serving.

You will design low-latency distributed systems for model serving at scale, develop computer vision pipelines for threat detection, and implement IaC for ML infrastructure.