Machine Learning Detection Engineer

This is a fully remote position, open to applicants in District of Columbia, +3 more states.

📋 Description

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

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

• Investigate binary files to ascertain their authenticity.

• Assess existing product detections to confirm they meet company standards.

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

⛳️ Requirements

• Familiarity and comprehension of 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.

• Capability to exhibit practical knowledge of research and analytical methods.

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

• Knowledge of different operating systems.

• Ability to deconstruct complex problems into manageable components.

• Experience in a security operations center or a comparable environment handling incidents (preferred).

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

• Familiarity with MacOS and/or Linux systems (preferred).

• Knowledge of tools utilized in targeted and criminal cyber intrusions (preferred).

• Background in exploit and vulnerability analysis (preferred).

• Proficiency in a range of programming languages, including C, C++, Java, and assembly (preferred).

• Experience with machine learning-based threat detections (preferred).

🏝️ Benefits

• Market leader in compensation and equity awards.

• Comprehensive physical and mental wellness programs.

• Competitive vacation and holidays for recharging.

• 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 foster connections.

• Vibrant office culture featuring world-class amenities.

• Great Place to Work Certified™ globally.