Senior Applied Scientist: Autonomous Observability

Amazon Inc.; Nashville, Northern (TN, KY); Hybrid; USD 159,000 - 215,000; Full time

Benefits offered by this job

Stock RSUs

Health insurance

401(k) matching

Paid time off

Job summary

Amazon in Nashville, TN is seeking a Senior Applied Scientist to lead the science behind agentic observability and translate long‑term research into concrete roadmaps with product and engineering partners. You will own the scientific direction end to end and drive adoption of new methods at scale.

You will build real‑time ML models, design experiments, and collaborate with Network Development Engineers and operations teams to ensure high availability of critical infrastructure, while mentoring

Qualifications

• 3+ years of building machine learning models for business applications.
• 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

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.
• Partner with Network Development Engineers and operations teams to ground science solutions in real‑world infrastructure behavior and operational needs.
• Mentor scientists and engineers, raise the science bar, and represent the team in the internal and external scientific community through publications and presentations.

Skills

Java

C++

Python

ML models

Applied research

Education

PhD or MS + 6+ years

Tools

TensorFlow

Spark MLLib

scikit-learn

MxNet

Numpy

Job description

Amazon in Nashville, TN is seeking a Senior Applied Scientist to lead the science behind agentic observability and translate long‑term research into concrete roadmaps with product and engineering partners. You will own the scientific direction end to end and drive adoption of new methods at scale.

You will build real‑time ML models, design experiments, and collaborate with Network Development Engineers and operations teams to ensure high availability of critical infrastructure, while mentoring