Machine Learning Detection Engineer

Job Description: Analyze detection data including customer reports to determine which aspects of the machine learning models can be improvedPerform tasks to enable better-management of false positive detectionsAnalyze binary files to determine their legitimacyReview current product detections to ensure they are performing to the company standardAddress internal questions and concerns regarding customer threat detectionsRequirements: Exposure and understanding of different types and functionality of malwareExperience with reverse engineering malware, or malware operationsKnowledge of programming and scripting languages, in particular PythonFundamental understanding of attributes of binary files such as imports/exports and packersAbility to demonstrate practical knowledge of research/collection skills and analytical methodsGeneral understanding of threat/risk management and threat/risk assessmentFamiliarity with various operating systemsAbility to break down complex problems into workable componentsExperience 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 awardsComprehensive physical and mental wellness programsCompetitive vacation and holidays for rechargePaid parental and adoption leavesProfessional development opportunities for all employees regardless of level or roleEmployee Networks, geographic neighborhood groups, and volunteer opportunities to build connectionsVibrant office culture with world class amenitiesGreat Place to Work CertifiedTM across the globe