Threat Analyst - ML Ops & Detection Efficacy (Remote)

VulnU; United States; Remote; USD 100,000 - 150,000; Full time

Benefits offered by this job

Equity

Retirement match

Job summary

CrowdStrike is seeking a Threat Analyst in a remote capacity to advance machine learning detections and efficacy. You will analyze malware, investigate detections, and improve model performance while collaborating with Data Science and Malware Research Center.

The role emphasizes reverse engineering, binary analysis, and threat/risk assessment across diverse operating systems, with a focus on reducing false positives and enhancing incident response using AI-driven workflows.

Qualifications

• 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.
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

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.

Skills

Malware analysis

Reverse engineering

Python programming

Threat modeling

AI-enabled decision making

Tools

Windows API

C/C++

Java

Assembly

Linux

Job description

CrowdStrike is seeking a Threat Analyst in a remote capacity to advance machine learning detections and efficacy. You will analyze malware, investigate detections, and improve model performance while collaborating with Data Science and Malware Research Center.

The role emphasizes reverse engineering, binary analysis, and threat/risk assessment across diverse operating systems, with a focus on reducing false positives and enhancing incident response using AI-driven workflows.