Senior Applied Scientist: Agentic Observability for Infra

Amazon Science; Nashville (TN); On-site; USD 159,000 - 215,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

RSUs

Job summary

Amazon Science in Nashville seeks a Senior Applied Scientist to invent the next generation of agentic observability solutions at scale. You will define the science direction and translate research into production systems.

You will work with engineering, product and Network Development Engineers to deliver end-to-end roadmaps, ground science in real-world telemetry, and push for automated remediation across Amazon’s infrastructure.

Qualifications

• 3+ years of building machine learning models for business application experience.
• PhD or Master's degree with 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Define and own the science vision for agentic observability, translating it into research and engineering roadmaps in partnership with product and engineering leaders.
• Build ML and agentic AI systems that autonomously detect, classify, and correlate infrastructure anomalies across network, compute, and service layers at Amazon scale.
• Design and develop models for event correlation, root cause analysis, and predictive failure detection using time-series analysis, graph-based methods, and deep learning.
• Own the agentic architecture for automated observability workflows, including planning, tool integration, long-horizon reasoning, and multi-agent orchestration.
• Define and curate the datasets and evaluation methodologies needed to train, benchmark, and continuously improve detection and classification systems.
• Stay deeply hands-on: write production-quality, critical-path code and build core components that take systems from prototype to launch.

Skills

ML model development

Programming in Python/C++/Java

Deep learning

Time-series analysis

Education

PhD or MS + 6+ years applied research

Tools

TensorFlow

PyTorch

scikit-learn

MxNet

Job description

Amazon Science in Nashville seeks a Senior Applied Scientist to invent the next generation of agentic observability solutions at scale. You will define the science direction and translate research into production systems.

You will work with engineering, product and Network Development Engineers to deliver end-to-end roadmaps, ground science in real-world telemetry, and push for automated remediation across Amazon’s infrastructure.