Unser Ziel: Zahnärzten den Papierkram abnehmen und ihnen wertvolle Zeit zurückgeben. Automatische Dokumentation. Automatische Abrechnung.
Unser Ziel: Zahnärzten den Papierkram abnehmen und ihnen wertvolle Zeit zurückgeben. Automatische Dokumentation. Automatische Abrechnung.
What they do: AI voice assistant that automates clinical documentation and billing code capture for dental practices
Headquarters / legal: Sonia Solutions GmbH, Hamburg, Germany
Founded: 2023
Employees (approx.): 51
Tech / compliance: Browser-based, hosted in Europe, GDPR-compliant; ISO 27001 / BSI-aligned claimed
Dental practice administrative burden: clinical documentation and billing code capture.
2023
Health and Human Services
Investors reported to include Lucid Capital and UVC Partners
“Investors named in profiles include UVC Partners and Lucid Capital”
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With Sonia, doctors are successful doctors. We create and deploy AI enhanced solutions that make doctors’ lives easier, patients’ care better, and healthcare systems more efficient. If you’re an intrinsically motivated self-starter who values impactful work, join us in revolutionizing healthcare 🩺.
We're looking for a Machine Learning Engineer (all) with strong expertise in Automatic Speech Recognition to join our AI team to help advance the future of healthcare. You will work on speech recognition systems that power real-world applications used by clinicians every day.
This position can either be hybrid in Luxembourg or Berlin.
Tasks
Fine-tune, evaluate 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
Work with MLOPs team to 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
Collaborate closely with product managers, researchers and developers to translate the solutions into production.
Requirements
Required Qualifications:
Master’s degree in Computer Science, Engineering, or a related technical field or equivalent industry experience
Typically 5-8+ years of experience in ML engineering or related fields
Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow)
Direct experience with ASR models (e.g., Whisper, wav2vec, HuBERT) and speech/audio processing pipelines
Experience with deep learning models, including transformers
Experience with MLOps pipeline (Docker, MLflow, W&B, DVC, Kubernetes)
Nice to Have:
Knowledge of multilingual or domain-specific speech modeling (medical/ legal and other specialized fields)
Experience with distributed training systems
Benefits
Attractive compensation aligned with your skills
Dynamic workspace in the heart of Luxembourg or work remotely
Flexible work arrangements
30 days of vacation per year
If you enjoy building meaningful relationships, driving customer satisfaction, and contributing to the transformation of healthcare, we’d love to hear from you!
I'm Margarita and will be guiding you through the application process.