Senior ML Engineer - Email Security

📋 Description

• Model Training and Deployment: Train, evaluate, and release spam-detection models, including
• Production ML Engineering: Develop production components of a new email-filtering engine in Go
• Detection Quality Improvement: Investigate customer-reported spam and phishing incidents, trace
• Model Performance Optimization: Balance detection rates against false-positive risks, ensuring
• Training Infrastructure and Data Tooling: Maintain corpus management tools and training
• Code and Model Reviews: Review and approve classifier, rule, and model changes to improve quality

🎯 Requirements

• At least five years of experience delivering detection or classification systems where false
• Experience independently taking machine learning classifiers into production, including corpus
• Hands-on experience training transformers with PyTorch, including tokenizers, masked-language
• Strong practical knowledge of Linux, shell scripting, and Python, including working with shared
• Regular use of AI coding agents and development tools to support engineering productivity.
• English proficiency at B2 level or higher, with strong written communication skills for technical

🎁 Benefits

• Fully Remote Work: Work remotely with flexibility to organize your schedule from different
• Flexible Working Hours: Autonomy to structure your working day.
• Paid Vacation: 24 days of paid vacation annually.
• Public Holidays: 10 days of national holidays.
• Sick Leave: Unlimited sick leave.
• Healthcare Support: Financial compensation toward private medical insurance.