Senior ML Engineer - Malware Detection

📋 Description

• Lead the development, evaluation, and deployment of machine learning systems that improve malware
• Design, train, fine-tune, and deploy ML models using production malware data to improve detection
• Develop models that distinguish malicious files from benign content and prioritize suspicious files
• Build systems that generate detection signatures from emerging malware campaigns.
• Develop methods to identify malicious content requiring contextual analysis (phishing pages
• Improve detection precision and cleanup effectiveness for infected websites.

🎯 Requirements

• At least five years of production ML experience, including two years in adversarial domains
• Hands-on transformer expertise: fine-tuning, tokenization, LoRA/QLoRA, distillation, quantization.
• Strong classical ML: gradient boosting, linear models with sparse features, probability
• Rigorous model evaluation: leakage-free splits, precision under FPR constraints, regression
• Inference and cost optimization: ONNX, llama.cpp, vLLM, int8/int4 quantization.
• Strong Python, PyTorch, Hugging Face, and SQL skills (ClickHouse preferred).

🎁 Benefits

• Fully remote work with flexibility to work worldwide.
• 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.