Do you have a passion for GenAI, machine learning, and/or cybersecurity? If so, join us in building innovative AI/ML services that protect our cloud from advanced security threats

As a Senior Applied Scientist on our team, you’ll analyze data using GenAI and other AI/ML techniques to build new services that detect and automate the mitigation of cybersecurity threats across Amazon’s infrastructure, including advanced persistent threats. You’ll work with software development engineers, security engineers, and other applied scientists across multiple teams to develop innovative security solutions at a massive scale.

Key job responsibilities

Design, build, and deploy AI/ML systems that process threat data at scale, running over petabyte‑scale security logs with real‑time inference

Conduct thorough data analyses and develop prototypes for detecting otherwise‑unknown security problems

Independently frame ambiguous problems, and then define and deliver a research agenda with limited guidance

Seek out, develop,



and advocate for new technologies to solve scientifically‑complex security problems

Build consensus on scientific approaches, balancing analytic rigor with the operational urgency inherent to security

Mentor and develop teammates both technically and professionally

Publish patents and peer‑reviewed articles, and present your research both internally and externally

About the team
This team is part of the larger ‘Amazon Active Defense’ organization, focused on bringing automation – at scale – to AWS Security. Teams within Amazon Active Defense consist of security engineers, data/applied scientists, and software developers, all working together to launch big data analytics able to automatically detect and mitigate threats within AWS in near‑real‑time. This team, in particular, is focused on both detecting and automatically stopping advanced actor activities in internal AWS resources.

Diverse Experiences
Amazon Security values diverse experiences. Even if you

📌 Senior Applied Scientist, AWS Security (Madrid)
🏢 Amazon
📍 Madrid