Senior Applied Scientist, AWS Security

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.

• 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

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.

Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

• PhD, or Master’s degree and 6+ years of applied research experience
• Experience leading engineering teams as a mentor or tech lead
• 3+ years of non‑internship experience building machine learning models for business applications
• Experience deploying AI/ML models into production systems with direct, verified customer impact
• Non‑internship experience of programming and/or scripting to solve real‑world problems (e.g., in Python)
• This role requires you to be a national of an EU Member state

• Experience using AI/ML to solve problems in cybersecurity, fraud, or related areas
• Experience building and deploying new GenAI applications
• Experience with large scale distributed systems such as Hadoop, Spark, etc.
• Experience with AWS or other cloud services (e.g., Sage Maker, Bedrock, EMR, Glue, Lambda, S3, etc.)

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