Amazon is a leading technology company, seeking a Senior Applied Scientist to advance the application of AI and machine learning in cyber threat intelligence. The role involves inventing and deploying AI/ML systems to automate threat detection and enhance intelligence analysis, while also mentoring team members and influencing scientific approaches within the organization.
Responsibilities:
- 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)
- 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 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