Senior ML Engineer - Email Security

📋 Description

• Train, evaluate, and release spam-detection models, including building and maintaining training
• Develop the production components of a new email-filtering engine in Go, including the inference
• Investigate customer-reported spam and phishing incidents, trace detection failures, and implement
• Balance detection rates against false-positive risks, ensuring legitimate messages are not
• Maintain the corpus management tools and training infrastructure required to support reliable
• Review and approve classifier, rule, and model changes to improve quality, share technical

🎯 Requirements

• At least five years of experience delivering detection or classification systems where false
• Experience independently taking at least one machine learning classifier into production, including
• 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 particularly strong written communication skills

🎁 Benefits

• Fully remote work with flexible schedule and ability to work from different locations worldwide
• Flexible working hours with autonomy to structure your working day around productivity and
• 24 days of paid vacation annually.
• 10 days of national holidays.
• Unlimited sick leave.
• Financial compensation toward private medical insurance.