Machine Learning Detection Engineer

🕒 May 8

🏛️ District of Columbia, Iowa, +2 more states – Remote

🏛️ District of Columbia – Remote 🌾 Iowa – Remote 🐎 Kentucky – Remote ⚔️ Virginia – Remote

💵 $90k - $125k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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CrowdStrike

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2011

🔒 Cybersecurity

☁️ SaaS

🤖 Artificial Intelligence

Cybersecurity • SaaS • Artificial Intelligence

CrowdStrike is a cybersecurity company that provides cloud-based security services to stop breaches. It is recognized as a leader in endpoint protection, identity and cloud security, and managed detection and response. CrowdStrike's platform, Falcon, integrates artificial intelligence to offer real-time visibility, detection, and protection against sophisticated cyber threats. The company is lauded for its effectiveness in securing networks and data, making it a trusted partner for businesses worldwide.

📋 Description

• Analyze detection data including customer reports to determine which aspects of the machine learning models can be improved • Perform tasks to enable better-management of false positive detections • Analyze binary files to determine their legitimacy • Review current product detections to ensure they are performing to the company standard • Address internal questions and concerns regarding customer threat detections

🎯 Requirements

• Exposure and understanding of different types and functionality of malware • Experience with reverse engineering malware, or malware operations • Knowledge of programming and scripting languages, in particular Python • Fundamental understanding of attributes of binary files such as imports/exports and packers • Ability to demonstrate practical knowledge of research/collection skills and analytical methods • General understanding of threat/risk management and threat/risk assessment • Familiarity with various operating systems • Ability to break down complex problems into workable components • Experience 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 awards • Comprehensive physical and mental wellness programs • Competitive vacation and holidays for recharge • 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 build connections • Vibrant office culture with world class amenities • Great Place to Work Certified™ across the globe