Machine Learning Engineer

We're looking for a Machine Learning Engineer with research experience to join our AI team. You'll bridge the gap between research and engineering, implementing and deploying state-of-the-art NLP solutions while maintaining high engineering standards.

Important: This position is based in our Hamburg office.

Implement and adapt latest research in NLP for production use

• Develop and deploy efficient RAG systems and fine-tuning pipelines


• Design and conduct experiments to validate new approaches


• Build and maintain ML pipelines and data processing workflows


• Contribute to MLOps practices and infrastructure improvements

Required Qualifications:

• Master's degree in Computer Science, Engineering, or related technical field


• 3+ years of hands-on ML engineering experience


• Demonstrated research experience (publications, research projects, or industrial research)


• Strong programming skills in Python and ML frameworks (PyTorch, JAX)


• Experience with latest transformer based architectures


• Knowledge of ML deployment and MLOps tools (Docker, MLflow, W&B, DVC)

Nice to Have:

• ASR experience


• Reinforcement learning experience


• Experience with multi-modal models


• Knowledge of distributed training systems


• Open-source contributions


• Experience in a startup-like environment


• German proficiency is a plus

• Attractive compensation aligned with your skills


• Flexible work arrangements


• Professional development allowance

If you're passionate about Machine Learing and want to work with cutting-edge technologies, we'd love to hear from you!

Location: Hamburg Employment Type: Full-time