Threat Analyst, Machine Learning Operations, Detection Efficacy

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

📋 Description

• Analyze detection data, including customer reports, to identify areas for enhancement in machine learning models.

• Execute tasks aimed at improving the management of false positive detections.

• Investigate binary files to assess their authenticity.

• Evaluate current product detections to ensure compliance with company standards.

• Address internal inquiries and concerns related to customer threat detections.

• Assist internal teams in responding to customer questions about threat detection.

• Provide the Data Science organization with insights regarding detection impacts, including efficacy and false positive management.

• Collaborate closely with Technical Account Managers, Falcon Complete, Data Scientists, and the Malware Research Center within Data Science.

⛳️ Requirements

• Familiarity with various types and functionalities of malware.

• Experience in reverse engineering malware or understanding malware operations.

• Proficiency in programming and scripting languages, particularly Python.

• Basic understanding of binary file attributes such as imports/exports and packers.

• Ability to demonstrate practical research/collection skills and analytical techniques.

• General knowledge of threat and risk management as well as threat/risk assessment.

• Familiarity with multiple operating systems.

• Capability to deconstruct complex problems into manageable components.

• Proven track record in leveraging AI technologies to improve decision-making, optimize workflows, enhance efficiency, and drive business outcomes.

• Experience working in a security operations center or a similar setting responding to incidents.

• In-depth understanding of Windows OS internals and the Windows API.

• Knowledge of MacOS and/or Linux systems.

• Familiarity with tools utilized in targeted and criminal cyber intrusions.

• Background in exploit and vulnerability analysis.

• Proficiency in programming languages such as C, C++, Java, and assembly.

• Experience with machine learning-driven threat detections.

🏝️ Benefits

• Competitive compensation and equity awards.

• Comprehensive wellness programs for physical and mental health.

• Generous vacation and holiday policies for rejuvenation.

• Paid parental and adoption leave.

• Opportunities for professional growth for employees at all levels and roles.

• Employee Networks, local community groups, and volunteer opportunities to foster connections.

• Dynamic office culture with outstanding amenities.

• Bonuses.

• Equity grants.

• Health insurance.

• 401k plan.

• Paid time off.