CrowdStrike
Threat Analyst – Machine Learning Operations & Detection Efficacy (Remote)
$100K–$150K
USA - Wenatchee, WA · Full-time · Posted Oct 30, 2026
About the job
Analyzes customer threat detections and malware to improve machine-learning detection efficacy, manage false positives, and support internal teams responding to detection questions.
What you'll do
- Analyze customer detection data and malware to identify improvements to machine-learning models.
- Help manage false-positive detections and review product detections against company standards.
- Analyze binary files and address internal questions about customer threat detections.
What they ask for
- Exposure to and understanding of malware types and functionality.
- Experience with malware reverse engineering or malware operations.
- Knowledge of programming and scripting languages, particularly Python.
- Understanding of binary-file attributes, research and analytical methods, threat/risk assessment, and operating systems.
Nice to have
- Experience in a security operations center or similar incident-response environment.
- Knowledge of Windows internals and API, MacOS and/or Linux, intrusion tools, exploit and vulnerability analysis, other programming languages, or machine-learning threat detections.
Pay
$100,000 - $150,000 per year (USD) base salary
Tools
Python, Windows OS, Windows API, MacOS, Linux, C, C++, Java
AI focus
Analyzes machine-learning threat detections and detection data to improve models, efficacy, and false-positive management; the posting also requires practical use of AI technologies to improve decision-making, workflows, efficiency, and business outcomes.
Model-written summary · the original posting is authoritative