Machine Learning Detection Engineer (Remote, East/Central)

CrowdStrike is a global leader in cybersecurity, dedicated to stopping breaches and redefining modern security with advanced AI-native platforms. The Machine Learning Detection Engineer role focuses on analyzing malware and improving detection capabilities through collaboration with internal teams and response to customer inquiries about threat detection.

Responsibilities:

• Analyze detection data including customer reports to determine which aspects of the machine learning models can be improved
• Perform tasks to enable better-management of false positive detections
• Analyze binary files to determine their legitimacy
• Review current product detections to ensure they are performing to the company standard
• Address internal questions and concerns regarding customer threat detections

Requirements:

• Exposure and understanding of different types and functionality of malware
• Experience with reverse engineering malware, or malware operations
• Knowledge of programming and scripting languages, in particular Python
• Fundamental understanding of attributes of binary files such as imports/exports and packers
• Ability to demonstrate practical knowledge of research/collection skills and analytical methods
• General understanding of threat/risk management and threat/risk assessment
• Familiarity with various operating systems
• Ability to break down complex problems into workable components
• Experience in a security operations center or similar environment responding to incidents
• A thorough understanding of Windows OS internals and the Windows API
• Knowledge of MacOS and/or Linux
• Familiarity with tools used in targeted and criminal cyber-intrusions
• A background in exploit and vulnerability analysis
• Knowledge of a variety of programming languages including C, C++, Java, and assembly
• Experience with threat detections by machine learning