Threat Analyst, Machine Learning Operations & Detection Efficacy (Remote)
Core
Analyze malware and detection data to improve CrowdStrike's machine learning models, manage false positives, and resolve customer threat detection inquiries.
Role type
Threat Analyst (Machine Learning Operations & Detection Efficacy)
Builds
Enhanced detection capabilities and reduced false positives for CrowdStrike's AI-native security platform.
Domain
Cybersecurity, Malware Analysis, Machine Learning Operations
Deliverable
production ML models
Required skills
Malware analysis, Reverse engineering, Python programming, Binary file analysis, Threat/risk assessment, Analytical research methods
Preferred skills
SOC incident response experience, Windows OS internals and API knowledge, MacOS/Linux familiarity, Exploit and vulnerability analysis, C/C++/Java/Assembly programming, Machine learning threat detection experience
Technologies
Python, Windows OS, MacOS, Linux, AI technologies
Responsibilities
Analyze detection data and customer reports to improve ML models; Manage false positive detections; Analyze binary files for legitimacy; Review product detections against company standards; Address internal questions regarding customer threat detections
Seniority
Individual Contributor (IC), Mid-to-Senior level