Member of Technical Staff, Machine Learning

Overview

Build and improve machine learning components for real production systems, covering data, training, evaluation, and inference. The role focuses on shipping, debugging, and iterating on reliable ML systems.

What you'll do

• Build and improve ML components across data, training, evaluation, and inference.
• Fine-tune and adapt models within production systems.
• Implement evaluation and testing to understand model behavior.
• Build and maintain pipelines for real-world and synthetic data.
• Debug model issues, performance problems, and production incidents.
• Ship iterative improvements based on real user feedback.
• Work with senior ML engineers and product teams under latency, cost, reliability, and safety constraints.

What you'll need

• Strong foundations in machine learning and modern neural architectures.
• Hands-on experience training, fine-tuning, or deploying ML models.
• Production-quality coding skills.
• Python skills.
• Experience with PyTorch or JAX.
• Ability to work through ambiguity with guidance and grow ownership over time.

Details

• Location: Germany.
• Production ML systems run on GPUs.