Senior Machine Learning Engineer

Overview

Own critical machine learning subsystems in production for a proactive, long-horizon AI product. Design, ship, and improve reliable ML systems under practical production constraints.

What you'll do

• Build core ML systems for a proactive AI product.
• Own data preparation, training, evaluation, inference, and iteration end to end.
• Turn research ideas into reliable production systems.
• Debug model failures and production system issues using real signals.
• Improve systems by shipping changes, measuring outcomes, and iterating.
• Collaborate with research, product, and engineering teams.
• Mentor and review the work of other ML engineers.

What you'll need

• Experience building and shipping ML systems used by real users.
• Understanding of how modern ML models behave in production.
• Strong production-quality coding and systems thinking.
• Ability to take ownership and work independently.
• Python skills.
• Experience with PyTorch or JAX.
• Experience with GPU-based training and inference systems.

Details

• Location: Germany.
• Interviews may be conducted virtually or onsite.