Machine Learning Detection Engineer (Cybersecurity)

TL;DR

Machine Learning Detection Engineer (Cybersecurity): Analyzing malware and detection efficacy to improve machine learning models with an accent on reverse engineering and threat intelligence. Focus on investigating customer detection tickets, managing false positives, and collaborating with data science and malware research teams to stop breaches.

Location: Must be based in the USA (East/Central time zones preferred)

Salary: $90,000–$125,000 per year

Company

hirify.global is a global leader in cybersecurity, providing an AI-native platform designed to stop breaches and protect modern organizations.

What you will do

• Analyze detection data and customer reports to identify areas for machine learning model improvement.
• Perform binary file analysis to determine legitimacy and improve false positive management.
• Review current product detections to ensure they meet company standards.
• Address internal inquiries regarding customer threat detections and detection capability.
• Collaborate with Technical Account Managers, Data Scientists, and the Malware Research Center.

Requirements

• Must be based in the USA.
• Experience with reverse engineering malware or malware operations.
• Understanding of malware types and functionality.
• Proficiency in programming and scripting, particularly Python.
• Fundamental knowledge of binary file attributes such as imports/exports and packers.
• Ability to break down complex problems into workable components.

Nice to have

• Experience in a security operations center (SOC) or incident response environment.
• Thorough understanding of Windows OS internals and the Windows API.
• Knowledge of MacOS and Linux.
• Background in exploit and vulnerability analysis.
• Experience with threat detections by machine learning.

Culture & Benefits

• Market-leading compensation and equity awards.
• Comprehensive physical and mental wellness programs.
• Competitive vacation and holiday policies.
• Paid parental and adoption leaves.
• Professional development opportunities for all employees.