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Amazon Robotics

Robot type
Warehouse and Logistics
Location
NashvilleTennesseeUSA
Job type
Artificial Intelligence
Posted
Sep 17, 2026
Full-time

Sr. Applied Scientist, Infrastructure Reliability

Job description

Are you driven by innovation and complex problem-solving? At Infrastructure Reliability, we build scalable solutions that ensure the reliability of Amazon's critical systems. Our team develops and operates tools that detect and prevent outages to maintain high availability across Amazon's global infrastructure. Join us to architect solutions that directly impact millions of customers, with the resources and support to make meaningful contributions.

The team at Amazon is responsible for building intelligent and real-time insights into service-to-service communications, network traffic, and event correlation across hundreds of Amazon's critical fulfillment and robotics services.

Job requirements

  • 3+ years of building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning
  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
  • Experience in several of the following areas: machine learning, statistics, deep learning, natural language processing, or information retrieval
  • Experience with time-series analysis, anomaly detection, or graph-based ML methods
  • Experience with agentic AI architectures, LLMs, or multi-agent systems
Apply on Amazon Robotics websiteSave

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