Software Development Engineer, Amazon Optics

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Join the Amazon Optics team to build and deploy computer vision and machine learning models that automate real-time physical security decisions for AWS locations globally. You will partner with Applied Scientists to operationalize research into production-grade inference pipelines, owning the full ML lifecycle from training infrastructure to low-latency serving. This role involves designing scalable distributed systems and maintaining Infrastructure as Code to ensure high reliability and performance.

• Build and deploy ML models for automated threat detection using computer vision
• Operationalize research models into production-grade inference pipelines
• Design and implement low-latency, high-reliability distributed systems for model serving
• Own the full ML model lifecycle including monitoring, drift detection, and retraining
• Develop and maintain Infrastructure as Code (IaC) for ML and application infrastructure

• 3+ years of professional software development experience
• 2+ years of system design and architecture experience
• Experience with Machine Learning fundamentals, including LLMs or CV architectures
• 1+ years developing large-scale distributed applications in C#, C++, Java, or Perl