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Machine Learning Detection Engineer
remoterocketship
- United States
- United States
À propos
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 Requirements:
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 Experience in a security operations center or similar environment responding to incidents (preferred) A thorough understanding of Windows OS internals and the Windows API (preferred) Knowledge of MacOS and/or Linux (preferred) Familiarity with tools used in targeted and criminal cyber-intrusions (preferred) A background in exploit and vulnerability analysis (preferred) Knowledge of a variety of programming languages including C, C++, Java, and assembly (preferred) Experience with threat detections by machine learning (preferred) Benefits:
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 Great Place to Work Certified™ across the globe
Compétences linguistiques
- English
Avis aux utilisateurs
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