Senior ML Engineer - Malware Detection

📋 Description

• Lead development, evaluation, and deployment of ML systems for malware detection
• Design, train, fine-tune, and deploy ML models using production malware data
• Develop models to classify malicious vs benign content and prioritize samples
• Build automated signature generation systems
• Develop context-aware threat detection methods
• Improve detection precision and cleanup effectiveness

🎯 Requirements

• 5+ years production ML experience with 2+ years in adversarial domains
• Experience training/fine-tuning transformer models (LoRA/QLoRA, full fine-tuning, distillation
• Strong classical ML: gradient boosting, linear models, calibration, class imbalance
• Design leakage-free splits, evaluate precision under false-positive constraints
• Optimize model throughput, latency, CPU, memory, cost; familiarity with ONNX, llama.cpp, vLLM
• Proficient in Python, PyTorch, Hugging Face, SQL (ClickHouse)

🎁 Benefits

• Fully Remote Work
• Flexible Working Hours
• 24 days paid vacation
• 10 national holidays
• Unlimited sick leave
• Financial compensation for private medical insurance