AI Malware Classification Researcher

About the role

Responsibilities

• Design deep learning models for behavioral malware classification
• Build concept drift detection systems to maintain model accuracy over time
• Develop adversarial robustness testing frameworks for security models
• Implement automated retraining pipelines triggered by new threat data
• Publish research findings internally and at security conferences
• Evaluate emerging ML techniques for applicability to threat detection

Requirements

• 6+ years in ML research or engineering with publications
• Experience with sequence modeling or behavioral analysis
• Strong PyTorch skills and familiarity with experiment tracking
• Understanding of cybersecurity concepts and threat landscapes
• Track record of shipping ML systems that handle adversarial inputs

Benefits

• Fully remote across European or US time zones
• Research conference budget with no cap
• 30 days PTO
• Equity participation
• Sabbatical program after 3 years

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