Senior Neurosymbolic Security Scientist

Amazon; Herndon (VA); Sur place; USD 167 000 - 226 000; Plein temps

Avantages offerts par ce poste

Health insurance

401(k) matching

Paid time off

Parental leave

Résumé du poste

Amazon Leo seeks an Applied Scientist to be a founding scientist on the Engineering and R&D team within Leo Infrastructure and IP Security. You will build neurosymbolic reasoning platforms and models that detect threat actor behavior, then deploy them to production in security operations.

You will work across reinforcement learning, graph-based reasoning, and behavioral analytics, translating threat intelligence into trusted automated capabilities that scale globally.

Qualifications

• 3+ years building ML models for business applications.
• PhD, or MS + 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, 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

Responsabilités

• 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.

Connaissances

ML model development

Graph algorithms

NLP

Java

C++

Python

Evaluation frameworks

Security analytics

Formation

PhD or MS + 6+ years

Outils

TensorFlow

scikit-learn

Spark MLLib

MxNet

Description du poste

Amazon Leo seeks an Applied Scientist to be a founding scientist on the Engineering and R&D team within Leo Infrastructure and IP Security. You will build neurosymbolic reasoning platforms and models that detect threat actor behavior, then deploy them to production in security operations.

You will work across reinforcement learning, graph-based reasoning, and behavioral analytics, translating threat intelligence into trusted automated capabilities that scale globally.