Detection Engineer - Machine Learning (Remote, East/Central)
Core
Analyze malware and detection data to improve machine learning model efficacy and manage false positives for cybersecurity customers.
Role type
Threat Analyst (Machine Learning Operations)
Builds
Detection capabilities and false positive management for the CrowdStrike Falcon platform
Domain
Cybersecurity / Malware Analysis / Machine Learning
Deliverable
production ML models
Required skills
Malware analysis, Reverse engineering, Python programming, Binary file analysis, Threat assessment, AI technology utilization
Preferred skills
SOC incident response, Windows OS internals, MacOS/Linux familiarity, Exploit analysis, C/C++/Java/Assembly programming, ML-based threat detection
Technologies
Python, C, C++, Java, Assembly, Windows OS, MacOS, Linux
Responsibilities
Analyze detection data including customer reports to improve ML models, Manage false positive detections, Analyze binary files to determine legitimacy, Review product detections for performance standards, Address internal questions regarding customer threat detections
Seniority
Individual Contributor
