Senior AI/ML Engineer

All open positions

Engineering · Remote · Full-time

About the role

Our AI core decides what a message means and what should follow from it. That decision has to stay explainable, including the times it gets things wrong.

You work on models for classification, extraction and prioritisation, measure their quality against real customer data, and own the pipeline from experiment to production.

What you will do

• Design and train NLP models for classification, entity recognition and prioritisation
• Build training and evaluation pipelines that are reproducible
• Measure model quality on real customer data and catch regressions early
• Keep latency and cost per request in check, since inference sits in the user path
• Document the decision logic so support and product can explain it

What you bring

• At least 5 years of machine learning experience in production systems
• Strong command of Python and PyTorch or TensorFlow
• Solid NLP background: transformer architectures, fine-tuning, evaluation
• Experience with cloud infrastructure (AWS or Azure)
• Fluent written and spoken English or German

Nice to have

• Experience handling personal data under GDPR constraints
• Knowledge of model quantisation and inference optimisation
• Open-source contributions in the ML space

What we offer

• Direct influence on the core function of the product
• Compute budget for experiments without an approval loop
• Remote-first with optional team weeks
• Learning budget for conferences and courses

What happens next

Apply

Submit your application with CV and portfolio

HR Interview

Initial conversation about your background and goals

Technical Assessment

Role-specific challenge or technical interview

Team Interview

Meet the team and discuss collaboration

Offer

Receive your offer and join the team

At a glance

Team · Engineering

Location · Remote

Employment type · Full-time

Reference · YUR-001

Apply now

Applying takes a few minutes. A CV is enough.