Senior Applied Scientist, Amazon Cyber Threat Intelligence

# Senior Applied Scientist, Amazon Cyber Threat  Services LLCFull Time senior Annapolis Junction, Maryland, US $167k – $249k Posted 5 days ago## Role  Services LLC is hiring a Senior Applied Scientist, Amazon Cyber Threat Intelligence. This is a full-time role in Annapolis Junction. Part of  Services LLC's Embedded hiring, posted 5 days ago. The posted range is $167k to $249k. Full responsibilities, required qualifications, and the apply link are listed in the description below.##

Salary Context

This role offers $167k-$249k. The median for Senior-level Embedded roles is $135k-$200k (based on 12 listings). 24% above median.## Resume Keywords to Include Make sure these keywords appear in your resume to improve ATS scoring

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Job Description ### DESCRIPTION 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. You will work on ambiguous, scientifically-complex problems where traditional engineering approaches fall short—from building predictive models that score threat likelihood against Amazon's specific attack surface, to developing graph neural networks that cluster adversary infrastructure, to creating LLM-powered systems that multiply analyst productivity.

This is a unique opportunity to bring scientific rigor to one of the most consequential problem domains in technology—protecting hundreds of millions of customers and the infrastructure that powers the global economy. You will be the first Applied Scientist embedded within ACTI, establishing the science agenda and building the foundation for AI-driven threat intelligence s position requires that the candidate selected be a US Citizen.

Key job 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### About the team Amazon Cyber Threat Intelligence (ACTI) is responsible for identifying, curating, and reporting timely, accurate, and actionable threat intelligence to protect Amazon's global businesses and customers. We investigate, analyze, and defend against sophisticated cyber threats across all Amazon business lines—AWS, retail, entertainment, logistics, and…