AI Ransomware Behavior Detection Engineer

About the role

Responsibilities

• Design behavioral features distinguishing ransomware execution from legitimate high-volume file operations
• Build sequential behavioral models detecting the multi-stage ransomware execution chain
• Implement false positive reduction approaches maintaining high detection rate at operational FPR thresholds
• Develop near-real-time detection pipeline meeting 30-second detection latency targets
• Create adversarial robustness against known evasion techniques targeting behavioral detection
• Validate detection against new ransomware variant samples before production deployment

Requirements

• 6+ years in ML engineering with cybersecurity, malware analysis, or endpoint detection experience
• Deep understanding of ransomware behavior patterns, file system activity, and evasion techniques
• Strong Python and ML skills with behavioral sequence modeling experience
• Experience with EDR telemetry data and endpoint behavioral analytics
• Track record reducing false positive rates in production security detection systems

Benefits

• Fully remote with flexible schedule
• Comprehensive health benefits
• $4,000 annual professional development budget
• Equity participation
• Security conference budget

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