Lead Neurosymbolic Security Scientist for Space

Amazon Inc.; Bellevue (WA); On-site; USD 167,000 - 226,000; Full time

Job summary

Amazon Leo is seeking a Senior Applied Scientist to join the Leo Infrastructure and IP Security team. You will design and deploy neurosymbolic systems, train LLM-based security agents, and build end-to-end lifecycle capabilities from research to production to protect the global satellite security platform.

You will collaborate with security engineers to model threat actor behaviors, optimize for latency and reliability, and publish innovations in top venues while contributing to patents and

Qualifications

• 3+ years of building machine learning models for business application experience
• 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
• Experience with graph algorithms, knowledge graphs, unsupervised learning (clustering, dimensionality reduction, anomaly detection), NLP, and embedding-based retrieval
• Experience designing evaluation frameworks for AI systems where ground truth requires human judgment, including staged rollouts, A/B testing, and expert feedback loops

Responsibilities

• Design and implement scalable, production-grade neurosymbolic systems that integrate symbolic reasoning over graph-based knowledge representations with LLM agents to deliver reliable, verifiable security outcomes
• Design and run reinforcement learning and fine-tuning pipelines (GRPO, PPO, DPO) to optimize language models for security reasoning, triage, and detection-authoring tasks
• Build behavioral and statistical models that detect threat actor behavior, and design the evaluation frameworks that measure model performance against that behavior before trusting a model in production
• Design and build multi-agent systems that autonomously triage, enrich, and contain security events, including the constrained reasoning, safety guardrails, and validation mechanisms that make automated decisions trustworthy at scale
• Own the end-to-end science lifecycle, from research and experimentation through production deployment, defining the metrics that measure system performance and real-world security impact
• Advance the state of the art through publications at top-tier venues, patents, or open-source contributions, and shape the scientific agenda and research culture from day one

Skills

ML model development

PhD or Masters + 6+ years

Java

C++

Python

Neural networks

Graph algorithms

NLP

Evaluation frameworks

Education

PhD or Masters + 6+ years applied research

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job description

Amazon Leo is seeking a Senior Applied Scientist to join the Leo Infrastructure and IP Security team. You will design and deploy neurosymbolic systems, train LLM-based security agents, and build end-to-end lifecycle capabilities from research to production to protect the global satellite security platform.

You will collaborate with security engineers to model threat actor behaviors, optimize for latency and reliability, and publish innovations in top venues while contributing to patents and