About the Role: We're looking for an experienced Machine Learning Engineer to join our AI team. You'll bridge the gap between research and engineering, implementing and deploying state-of-the-art ASR solutions while maintaining high engineering standards.

• Implement, benchmark and deploy state-of-the-art models in speech recognition and audio processing
• Collect and curate custom ASR datasets, including data sourcing, annotation pipeline setup, quality control, and alignment/segmentation procedures
• Ensure continuous training for models on production
• Design and conduct experiments to validate new approaches, datasets, and architectures
• Build and maintain data pipelines and audio preprocessing workflows
• Improve and ensure company follow best MLOps practices

Required Qualifications:

• Master’s degree in Computer Science, Engineering, or a related technical field or equivalent industry experience
• 8+ years of experience in ML engineering or relevant fields
• Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow)
• Experience with deep learning models, including transformers
• Experience with MLOps pipeline implementation and maintenance (Docker, MLflow, W&B, DVC, Kubernetes)

Highly Valued:

• Direct experience with ASR models (e.g., Whisper, wav2vec, HuBERT) and speech/audio processing pipelines
• Experience working with multimodal data (e.g., audio + text, audio + video)
• Demonstrated research experience (publications, research projects, or industrial research)
• A hands-on mindset and willingness to engage with meticulous data-related tasks
• Experience with distributed training systems

Nice to Have:

• NLP experience
• Open-source contributions
• Experience in a startup-like environment

• 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