Threat Analyst, Machine Learning Operations, Detection Efficacy

atCrowdStrikeRemoteUS flagUnited StatesFull-timeMachine Learning EngineerMid-levelSenior$120k – $180k/year

Posted Aug 31

This is a fully remote position, open to applicants in United States.

πŸ“‹ Description

β€’ Examine detection data, including customer reports, to identify potential enhancements for machine learning models.

β€’ Execute tasks that facilitate improved management of false positive detections.

β€’ Analyze binary files to assess their authenticity.

β€’ Evaluate existing product detections to ensure compliance with company standards.

β€’ Address internal inquiries and concerns related to customer threat detections.

β€’ Assist internal teams in responding to customer queries regarding threat detection.

β€’ Supply the Data Science organization with insights about detection effectiveness and false positive occurrences.

β€’ Collaborate with Technical Account Managers, Falcon Complete, Data Scientists, and the Malware Research Center within Data Science.


⛳️ Requirements

β€’ Familiarity with and understanding of various types and functionalities of malware.

β€’ Experience in reverse engineering malware or working within malware operations.

β€’ Proficiency in programming and scripting languages, especially Python.

β€’ Basic knowledge of binary file attributes such as imports/exports and packers.

β€’ Capability to demonstrate practical expertise in research/collection techniques and analytical methods.

β€’ General knowledge of threat/risk management and threat/risk assessment principles.

β€’ Acquaintance with different operating systems.

β€’ Skill in deconstructing complex problems into manageable components.

β€’ Proven track record of utilizing AI technologies to improve decision-making, streamline workflows and processes, enhance efficiency, and drive business outcomes.

β€’ Experience in a security operations center or a similar environment addressing incidents.

β€’ Comprehensive understanding of Windows OS internals and the Windows API.

β€’ Knowledge of MacOS and/or Linux systems.

β€’ Familiarity with tools used in targeted and criminal cyber intrusions.

β€’ Background in exploit and vulnerability analysis.

β€’ Proficiency in programming languages such as C, C++, Java, and assembly.

β€’ Experience in machine learning-based threat detections.


🏝️ Benefits

β€’ Industry-leading compensation and equity awards.

β€’ Extensive physical and mental wellness programs.

β€’ Generous vacation and holiday policies for relaxation.

β€’ Paid parental and adoption leave.

β€’ Opportunities for professional development available to all employees, regardless of their level or role.

β€’ Employee Networks, local neighborhood groups, and volunteer opportunities to foster connections.

β€’ Dynamic office culture equipped with world-class amenities.

β€’ Bonus opportunities.

β€’ Equity grants.

β€’ Health insurance coverage.

β€’ 401k retirement plan.

β€’ Paid time off.

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