Sr. Applied Scientist, Amazon Cyber Threat Intelligence
Core
Invent and deploy novel AI/ML systems to automate cyber threat detection, accelerate intelligence analysis, and enable proactive defense for Amazon's global infrastructure.
Role type
Senior Applied Scientist (Cybersecurity/AI)
Builds
Production AI/ML systems for threat scoring, malware classification, infrastructure clustering, and intelligence automation
Domain
Cybersecurity / Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
PhD in quantitative field, 5+ years research experience, deploying AI/ML to production, NLP/LLMs, graph neural networks, anomaly detection, deep learning, probabilistic modeling, software development, publication record
Preferred skills
AI/ML in cybersecurity, framing ambiguous problems, threat intelligence frameworks, large-scale graph analytics, LLM/GenAI applications, ML frameworks (PyTorch, TensorFlow, JAX), AWS services (SageMaker, Bedrock, EMR, Glue, Lambda, S3)
Technologies
PyTorch, TensorFlow, JAX, SageMaker, Bedrock, EMR, Glue, Lambda, S3
Responsibilities
Identify and solve scientifically-complex threat intelligence problems, drive the scientific agenda for AI/ML within ACTI, extend and invent machine learning techniques for cybersecurity, publish research at peer-reviewed venues, design and deploy production AI/ML systems at scale, partner with engineering teams to integrate models, mentor security engineers and analysts on AI/ML concepts
Seniority
Senior, hands-on IC with research leadership