Sr. Applied Scientist, Amazon Cyber Threat Intelligence

About the role

We are seeking a Senior Applied Scientist to pioneer the application of artificial intelligence and machine learning to cyber threat intelligence at Amazon scale. In this role, you will invent and deploy novel AI/ML systems that automate threat detection, accelerate intelligence analysis, and enable proactive defense capabilities.

Responsibilities

• Invent Identify, frame, and solve scientifically-complex threat intelligence problems where no textbook solutions exist—including threat scoring, malware classification, infrastructure clustering, and intelligence automation
• Drive the scientific agenda for AI/ML within ACTI by proposing research initiatives, defining success metrics, and securing management buy-in
• Extend and invent machine learning techniques for cybersecurity applications, including anomaly detection on noisy data, few-shot learning for emerging threat families, and graph-based reasoning over attacker infrastructure
• Publish research at peer-reviewed venues (e.g., USENIX Security, IEEE S&P, ACM CCS, NeurIPS workshops)
• Implement Design, build, and deploy production AI/ML systems that process threat data at scale—from model training on petabyte-scale security logs to real-time inference serving millions of predictions daily
• Partner with ACTI engineering teams to integrate AI/ML models into existing intelligence platforms
• Develop end-to-end solutions including data pipelines, feature engineering, model training, evaluation frameworks, and production monitoring
• Write production-quality code and deploy models with operational excellence—reliability, maintainability, and cost efficiency
• Influence Influence across multiple ACTI sub-teams and partner organizations
• Build consensus on scientific approaches, balancing analytical rigor with operational urgency inherent to threat intelligence
• Mentor security engineers and analysts on AI/ML concepts, helping the broader ACTI team develop data literacy and scientific thinking
• Represent ACTI in Amazon's internal science community and contribute to the broader information security research ecosystem

Qualifications

• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
• 5+ years of relevant, broad research experience after PhD (or equivalent body of work demonstrating scientific innovation)
• Experience deploying AI/ML models into production systems with direct, verified customer impact
• Experience in one or more: NLP/LLMs, graph neural networks, anomaly detection, deep learning, or probabilistic modeling
• Software development skills
• Publication record (including NeurIPS, ICML, ICLR, ACL, EMNLP, KDD, USENIX Security, IEEE S&P, or equivalent)