Threat Analyst, Machine Learning Operations, Detection Efficacy

CrowdStrike

. Analyze detection data including customer reports to determine which aspects of machine learning models can be improved .

Posted 10/22/2026full-timeRemote • Washington • United StatesMid-LevelSenior💰 $100,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in malware analysis, reverse engineering, and threat detection, with a strong foundation in programming languages such as Python, C, C++, and Java. Proven ability to analyze detection data and improve machine learning models while collaborating with cross-functional teams to enhance security operations.

Highest-signal resume keywords

Malware AnalysisReverse EngineeringPython ProgrammingThreat DetectionSecurity Operations Center Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Malware OperationsBinary File AnalysisAI Technologies UtilizationExploit AnalysisVulnerability AnalysisMachine Learning Threat DetectionWindows OS InternalsWindows API KnowledgeMacOS FamiliarityLinux Familiarity

Soft Skills

Analytical SkillsProblem-SolvingCommunication

Tools & Technologies

Detection ToolsCyber-Intrusion Tools

Industry Keywords

Threat ManagementRisk AssessmentSecurity Operations

Tech Stack

Tools & technologies

AssemblyJavaLinuxMacOSPythonC++

About the role

Key responsibilities & impact

Analyze detection data including customer reports to determine which aspects of 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 company standards
Address internal questions and concerns regarding customer threat detections
Help internal teams respond to customer inquiries about threat detection
Provide information about detection effects to the Data Science organization, including detection efficacy and false positive management
Work closely with Technical Account Managers, Falcon Complete, Data Scientists, and the Malware Research Center in Data Science

Requirements

What you’ll need

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
Experience in a security operations center or similar environment responding to incidents
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
Background in exploit and vulnerability analysis
Knowledge of programming languages including C, C++, Java, and assembly
Experience with threat detections by machine learning

Benefits

Comp & perks

Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Bonuses
Equity grants
Health insurance
401k
Paid time off