4 дня назад
Threat Analyst, Machine Learning Operations & Detection Efficacy (Remote)
120 000 - 180 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Threat Analyst, Machine Learning Operations & Detection Efficacy (Remote) (Cybersecurity/Machine Learning): Analyzing malware, binary files, customer detection data, and machine learning detections to improve detection capability and reduce false positives with an accent on reverse engineering, detection efficacy, and threat analysis. Focus on investigating customer detection tickets, reviewing product detections, assessing model improvements, and resolving internal questions about potentially malicious activity.
Location: USA - Remote
Salary: $120,000–$180,000 per year, plus eligibility for bonuses and equity grants.
Company
Cybersecurity company providing an AI-native platform for preventing breaches and protecting organizations across industries.
What you will do
- Analyze malware, binary files, detection data, and customer reports to identify improvements for machine learning models.
- Investigate individual customer detection tickets and address internal questions about potentially malicious activity.
- Support the management and reduction of false positive detections.
- Review product detections to verify that they meet company standards.
- Provide detection efficacy insights to Data Science and collaborate with Technical Account Managers, Falcon Complete, Data Scientists, and the Malware Research Center.
Requirements
- Understanding of malware types and functionality, with experience in malware reverse engineering or malware operations.
- Programming and scripting knowledge, particularly Python.
- Fundamental knowledge of binary file attributes, including imports, exports, and packers.
- Research, collection, analytical, threat management, and risk assessment skills.
- Familiarity with multiple operating systems and the ability to break down complex problems into workable components.
- Practical experience using AI technologies to improve decision-making, workflows, efficiency, and business outcomes.
Nice to have
- Security operations center or incident response experience.
- Knowledge of Windows internals, the Windows API, macOS, Linux, intrusion tools, exploit and vulnerability analysis, or machine learning threat detections.
- Knowledge of C, C++, Java, assembly, or other programming languages.
Culture & Benefits
- Remote work with flexibility and autonomy.
- Competitive compensation, equity awards, bonuses, health insurance, 401(k), and paid time off.
- Physical and mental wellness programs, competitive vacation, and holidays.
- Paid parental and adoption leave.
- Professional development opportunities, employee networks, geographic groups, and volunteer opportunities.
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