Senior ML Engineer - Email Security

GermanyRemoteFull-timesenior

Machine Learning EngineerData

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Quick Summary

Key Responsibilities

Model Training and Deployment: Train, evaluate, and release spam-detection models, including building and maintaining training corpora, selecting decision thresholds, analyzing precision and recall,

Requirements Summary

The ideal candidate is an experienced machine learning engineer with a strong background in production classification systems, practical transformer expertise,

Technical Tools

Machine Learning EngineerData

The Senior ML Engineer will help develop and deploy advanced machine learning technology to protect email infrastructure against spam, phishing, and other evolving cyber threats. You will work on a production-scale security solution that already filters email across approximately 5,000 hosting servers. The role combines hands-on transformer model training with systems engineering to build lightweight, efficient inference technology that runs on customer CPUs with minimal resource consumption. You will take ownership of the complete detection lifecycle, from dataset preparation and model evaluation to production releases and ongoing quality improvements. Working closely with an experienced engineering partner, you will help modernize the existing filtering pipeline and make releases more reliable and scalable. This remote-first opportunity is ideal for an engineer who enjoys solving challenging security problems and delivering measurable improvements in real-world environments.

You will contribute across the machine learning lifecycle and production engineering stack, ensuring that email detection models are accurate, efficient, and reliable in real-world hosting environments. Your responsibilities will include:

Requirements

~1 min read

The ideal candidate is an experienced machine learning engineer with a strong background in production classification systems, practical transformer expertise, and the engineering skills to deliver reliable security technology. You should be comfortable owning technical decisions, investigating complex detection issues, and communicating your work clearly. Key qualifications include:

What We Offer

~2 min read

✓Fully Remote Work: Work remotely with the flexibility to organize your schedule and work from different locations worldwide, subject to role and hiring arrangements.

✓Flexible Working Hours: Autonomy to structure your working day around your productivity and commitments.

✓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.

✓Wellness Benefits: Reimbursement for co-working spaces and gym or sports activities.

✓Learning and Development: An education budget and a focus on ongoing professional growth.

✓Innovation Rewards: The opportunity to receive a reward for developing an innovative idea that can be patented.

✓Technical Challenges: Opportunities to work on demanding machine learning, cybersecurity, and production engineering projects with measurable real-world impact.