Threat Analyst – Machine Learning Operations, Detection Efficacy

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

📋 Description

• Investigate individual customer detection tickets by analyzing malware and detections.

• Evaluate detection data, including customer feedback, to identify areas for improvement in machine learning models.

• Execute tasks that enhance the management of false positive detections.

• Examine binary files to assess their authenticity.

• Review existing 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.

• Share insights regarding detection impacts with the Data Science organization, focusing on detection efficacy and false-positive management.

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

⛳️ Requirements

• Understanding and exposure to various types and functionalities of malware.

• Experience in reverse engineering malware or conducting malware operations.

• Proficiency in programming and scripting languages, particularly Python.

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

• Ability to showcase practical knowledge of research, collection skills, and analytical methods.

• General awareness of threat and risk management as well as threat and risk assessment.

• Familiarity with multiple operating systems.

• Capability to decompose complex problems into manageable components.

• Demonstrated experience utilizing AI technologies to improve decision-making, streamline workflows and processes, enhance efficiency, and drive business outcomes.

• Experience working in a security operations center or a similar environment addressing incidents.

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

• Knowledge of MacOS and/or Linux.

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

• Background in exploit and vulnerability analysis.

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

• Experience with machine learning-based threat detections.

🏝️ Benefits

• Leader in compensation and equity awards.

• Comprehensive wellness programs that support physical and mental health.

• Competitive vacation and holiday policies to allow for rest and rejuvenation.

• Paid parental and adoption leaves.

• Opportunities for professional development available to all employees, irrespective of their level or role.

• Employee Networks, local neighborhood groups, and volunteer opportunities for building connections.

• Dynamic office culture featuring world-class amenities.

• Health insurance coverage.

• 401k plan.

• Paid time off.

• Bonus opportunities.

• Equity grants.