Amazon
Applied Scientist, Leo Security
$143K–$193K
Arlington, VA +3 · Full-time · Posted Aug 14, 2026
- Location
- Arlington, VA
Bellevue, WA
Seattle, WA
Herndon, VA - Experience
- 3+ years of building models for business application experience; PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Education
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Visa sponsorship
- Candidates must be a U.S. citizen due to applicable export control laws and regulations.
About the job
Build and deploy models and privacy-preserving data methods that detect threats across Amazon Leo’s physical, industrial, and digital security telemetry.
What you'll do
- Develop behavioral and statistical models to baseline activity and detect threats across heterogeneous telemetry.
- Design and validate privacy-preserving data representations, and develop metrics and evaluation frameworks for model performance.
- Contribute production-quality components to a neurosymbolic reasoning platform and document and communicate scientific results.
What they ask for
- 3+ years of building models for business application experience.
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- Experience with statistical modeling and analysis of large, heterogeneous datasets, including anomaly detection, time-series analysis, or behavioral baselining.
- Fluency in Python and experience with popular deep learning frameworks (e.g., PyTorch, TensorFlow).
Nice to have
- Experience in security domains, professional software and systems development, or publications at top-tier peer-reviewed machine learning, data mining, or security venues.
- Experience with privacy-preserving machine learning, evaluation frameworks, or modeling operational or sensor telemetry.
Pay
142,800.00 - 193,200.00 USD annually (base salary); 142,800.00 - 193,200.00 USD annually (base salary); 142,800.00 - 193,200.00 USD annually (base salary); 142,800.00 - 193,200.00 USD annually (base salary)
Tools
Python, Rust, C++, PyTorch, TensorFlow, OT/SCADA, IoT
AI focus
Applies statistical, behavioral, privacy-preserving, and neurosymbolic AI methods to security telemetry and threat detection; the team is also moving toward agentic AI.
Model-written summary · the original posting is authoritative