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.
Tasks
* 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
Requirements
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
If you're passionate about Machine Learning and want to work with cutting-edge technologies, we'd love to hear from you!
Location: Hamburg Employment Type: Full-time
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