
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: Voice-powered AI assistant that automates clinical documentation, coding and billing for dental practices
Headquarters: Berlin, Germany
Customer impact claims: >1 hour saved per practitioner per day; >10% additional revenue capture
Customers: 500+ dental practices (reported)
Recent funding: Seed round announced Jun 25, 2025; prior grant Jun 2024
Clinical documentation and medical billing automation for dental practices
2023
Health and Human Services
€50k
Investors reported to include Lucid Capital and others
“Backed by venture investors including 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
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.
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