Applied Scientist: Security for Satellite Infrastructure

Amazon Science

Seattle (WA)

On-site

USD 143,000 - 193,000

Full time

4 days ago
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Job summary

Amazon Leo is seeking an Applied Scientist to join the founding cohort of the Engineering and R&D team within Leo Infrastructure and IP Security. You will build statistical and behavioral models to separate threat actor behavior from noise in diverse security telemetry and develop privacy-preserving data representations for scalable detections.

The role blends research with production mandates, shipping components used by security teams to protect the constellation, with opportunities to publish

Qualifications

  • 3+ years of building models for business applications.
  • PhD or Master’s + 4+ years in CS/CE/ML.
  • Experience with statistical modeling and analysis of large, heterogeneous datasets.
  • Fluency in Python; systems language such as Rust or C++ is a plus.
  • Experience with PyTorch and TensorFlow.

Responsibilities

  • Build behavioral and statistical models that baseline normal activity across heterogeneous security telemetry.
  • Design privacy-preserving representations of sensitive data and verify model detections remain accurate.
  • Define methodology and own analysis for difficult problems across data domains.
  • Develop metrics and evaluation frameworks for model and detection performance.
  • Contribute to neurosymbolic reasoning platforms and production-quality components.
  • Document work with rigorous communications for scientific and security audiences.

Skills

Statistical modeling
Anomaly detection
Time-series analysis
Behavior baselining
Python fluency
C++ knowledge
PyTorch
TensorFlow

Education

PhD
Master's + CS/CE/ML

Job description

Amazon Leo is seeking an Applied Scientist to join the founding cohort of the Engineering and R&D team within Leo Infrastructure and IP Security. You will build statistical and behavioral models to separate threat actor behavior from noise in diverse security telemetry and develop privacy-preserving data representations for scalable detections.

The role blends research with production mandates, shipping components used by security teams to protect the constellation, with opportunities to publish

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