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Senior Applied Scientist - AWS Security - Amazon
Software Engineer
Lead the design and deployment of GenAI‑driven ML solutions that detect and mitigate advanced cyber threats across AWS infrastructure, collaborating closely with software engineers and security teams to protect cloud services.
About the role
Key Responsibilities
- Develop and prototype GenAI and ML models to identify and respond to sophisticated security threats in real time.
- Collaborate with software development engineers to integrate threat detection services into AWS security products.
- Analyze large security datasets, extracting actionable insights and refining models for higher accuracy.
- Design automated mitigation workflows that reduce incident response times and improve overall cloud resilience.
- Publish research findings and present technical solutions to cross‑functional stakeholders.
Requirements
- PhD or equivalent experience in Computer Science, Machine Learning, or Cybersecurity.
- Proven expertise in GenAI, deep learning frameworks, and AWS services (e.g., SageMaker, Lambda).
- Strong background in data analysis, statistical modeling, and threat intelligence.
- Excellent communication skills and ability to translate complex technical concepts to non‑technical audiences.
- Experience with cloud security best practices and incident response automation.
Skills
machine learningawsdata analysis