Чётко очерченная роль в ведущей компании по кибербезопасности связана с улучшением обнаружения реальных угроз; также заявлены возможности развития и гибкость.
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Актуальные технологииПонятные задачиСильная компанияУдалённая работа
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Threat Analyst, Machine Learning Operations & Detection Efficacy (Remote) (AI): Analyzing malware, binary files, customer detection reports, and machine-learning detections to improve detection capability and manage false positives with an accent on reverse engineering, detection efficacy, and analytical investigation. Focus on evaluating model weaknesses, validating product detections, and resolving complex internal questions about potentially malicious activity.
Location: USA - Remote, WA
Base salary: $100,000–$145,000 per year for U.S. candidates, with eligibility for bonuses, equity grants, health insurance, 401(k), and paid time off.
Company
Cybersecurity company providing an AI-native platform for protecting organizations and processing large-scale security event data.
What you will do
Analyze malware, binary files, customer reports, and detection data to identify improvements for machine-learning models and threat detections.
Investigate individual customer detection tickets and address internal questions about potentially malicious activity.
Manage and analyze false-positive detections.
Review product detections against company standards and assess detection efficacy.
Collaborate with Technical Account Managers, Falcon Complete, Data Scientists, and the Malware Research Center.
Requirements
Understanding of different malware types and functionality.
Experience with malware reverse engineering or malware operations.
Knowledge of programming and scripting languages, particularly Python.
Fundamental understanding of binary-file attributes, including imports, exports, and packers.
Practical research, collection, and analytical-method skills.
General understanding of threat and risk management and assessment.
Familiarity with various operating systems.
Ability to break complex problems into workable components.
Proven experience using AI technologies to improve decision-making, streamline workflows and processes, increase efficiency, and drive business outcomes.
Nice to have
Experience in a security operations center or similar incident-response environment.
Thorough understanding of Windows 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 machine-learning threat detections.
Culture & Benefits
Remote work with flexibility and autonomy.
Comprehensive physical and mental wellness programs.
Competitive vacation and holidays, plus paid parental and adoption leave.
Professional development opportunities for employees at all levels.
Employee networks, geographic neighborhood groups, and volunteer opportunities.
Compensation may include bonuses, equity awards, health insurance, 401(k), and paid time off.
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