Senior ML Engineer - Malware Detection

📋 Description

• Design, train, fine-tune, and deploy ML models using production malware data to improve detection
• Develop models that distinguish malicious files from benign content, prioritize suspicious files
• Build systems that generate detection signatures from emerging malware campaigns, helping security
• Develop methods to identify malicious content that requires contextual analysis, including phishing
• Improve detection precision and cleanup effectiveness so that infected websites remain clean after
• Establish rigorous evaluation frameworks using time-based and campaign-based dataset splits

🎯 Requirements

• At least five years of experience building and deploying machine learning systems in production
• Practical experience training and fine-tuning transformer models, including data preparation, code
• Strong understanding of gradient boosting, linear models with sparse features, probability
• Experience designing leakage-free splits by time and malware family, evaluating precision under
• Demonstrated ability to measure throughput and latency and optimize models for CPU, memory, and
• Strong Python, PyTorch, and Hugging Face skills, along with SQL expertise for analyzing large

🎁 Benefits

• Fully remote work with flexibility to organize your schedule and work from different locations
• Flexible working hours with autonomy to structure your working day in a remote-first, asynchronous
• 24 days of paid vacation annually.
• 10 days of national holidays.
• Unlimited sick leave.
• Financial compensation toward private medical insurance.