Senior ML Engineer - Malware Detection

📋 Description

• Lead development, evaluation, and deployment of ML systems for malware detection at scale
• Design, train, fine-tune, and deploy ML models using production malware data
• Develop models for malware classification and triage, distinguishing malicious from benign content
• Build automated signature generation systems for emerging malware campaigns
• Develop context-aware threat detection for phishing, webshells, script injections, and compromised
• Optimize detection precision and cleanup effectiveness for infected websites

🎯 Requirements

• At least five years of production ML experience
• At least two years in an adversarial domain (cybersecurity, fraud, spam, or abuse prevention)
• Practical experience training and fine-tuning transformer models including data preparation
• Strong understanding of classical ML: gradient boosting, linear models with sparse features
• Experience designing leakage-free evaluation splits and evaluating precision under false-positive
• Ability to measure throughput/latency and optimize models for CPU, memory, and cost; familiarity

🎁 Benefits

• Fully remote work with flexibility
• Flexible working hours in a remote-first, asynchronous environment
• 24 days of paid vacation annually
• 10 days of national holidays
• Unlimited sick leave
• Financial compensation toward private medical insurance