Lead Applied Scientist, Space Security & AI Defense

VulnU

Bellevue (WA)

On-site

USD 167,000 - 226,000

Full time

3 days ago
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Benefits offered by this job

Paid parental leave
Retirement match
Equity
Flexible PTO

Job summary

Amazon Leo Space Security is hiring a Senior Applied Scientist to design scalable neurosymbolic systems that integrate graph-based knowledge with LLM agents for security outcomes in satellite infrastructure. You will lead end-to-end science, from research to production deployment, tackling threat detection, triage, and containment at scale.

You will advance the state of the art through publications, patents, and open-source work while collaborating with security engineers and software teams to

Qualifications

  • 3+ years building ML models for business apps
  • PhD or Master's + 6+ years applied research
  • Proficient in Java, C++, Python
  • Experience with neural DL methods and ML
  • Graph algorithms, knowledge graphs, NLP, embedding retrieval
  • Design evaluation frameworks with human-in-the-loop or A/B testing
  • Experience with modeling tools like R, scikit-learn, Spark MLlib, MxNet, TensorFlow, numpy, scipy
  • Quantitative scientific work in security, ML or AI domains

Responsibilities

  • Design scalable neurosymbolic systems integrating symbolic reasoning with LLM agents
  • Develop RL/risk pipelines (GRPO, PPO, DPO) for security reasoning and detection
  • Build behavioral/statistical models to detect threat actor behavior
  • Create multi-agent systems for triage, enrichment, containment of security events
  • Own end-to-end science lifecycle from research to production deployment
  • Publish advances via papers, patents, or open-source contributions

Skills

Machine learning
Java
C++
Python
Graph algorithms
NLP
Deep learning
Evaluation frameworks

Education

PhD
Master's degree + 6+ yrs applied research

Tools

R
scikit-learn
Spark MLlib
MxNet
TensorFlow
numpy
scipy

Job description

Amazon Leo Space Security is hiring a Senior Applied Scientist to design scalable neurosymbolic systems that integrate graph-based knowledge with LLM agents for security outcomes in satellite infrastructure. You will lead end-to-end science, from research to production deployment, tackling threat detection, triage, and containment at scale.

You will advance the state of the art through publications, patents, and open-source work while collaborating with security engineers and software teams to

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