Senior Machine Learning Engineer (ASR) (all)

Let me introduce...

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 (ASR)

to join our AI team. You will be at the forefront of developing the speech recognition systems that power real-world applications used by clinicians every day.

Location

Preferably

• Hybrid (Luxembourg or Berlin) or Remote (Germany or Luxembourg).
• This is what you’ll own

ASR Model Development

Fine-tune, evaluate, and deploy state-of-the-art models in speech recognition and audio processing (e.g., Whisper, wav2vec).

Data Curation & Annotation

Collect and curate custom ASR datasets, including data sourcing, annotation pipeline setup, quality control, and alignment/segmentation procedures.

Audio Pipelines

Build and maintain robust data pipelines and audio preprocessing workflows for clinical environments.

MLOps Collaboration

Work closely with the MLOps team to ensure continuous training, monitoring, and seamless deployment of models in production.

Experimentation

Design and conduct experiments to validate new approaches, datasets, and architectures to improve accuracy in noisy or specialized medical settings.

Cross-Functional Impact

• Collaborate with product managers and developers to translate complex speech solutions into production-ready healthcare tools.
• You’ll thrive in this role if you bring

Must Haves

Education

Master’s degree in Computer Science or Engineering.

Experience

Typically

• 5-8+ years
• of experience in ML engineering.

Technical Proficiency

Strong programming skills in

Python

(

• working with production code and deploying models in production)
• and ML frameworks (

PyTorch

,

TensorFlow or Jax).

ASR Expertise

Direct experience with ASR models (Whisper, wav2vec, …), VAD, alignment and diarisation, and complex speech/audio processing pipelines.

Deep Learning

Extensive experience with transformer-based architectures and deep learning models.

MLOps Foundation

Practical experience with MLOps pipeline components such as

Docker, MLflow, W&B, DVC, or Kubernetes

.

Nice to Have

Domain Knowledge

• Knowledge of multilingual or domain-specific modeling (specifically
• medical
• , legal, or other specialized terminologies).

Scalability

Experience with distributed training systems for large-scale model optimization.

Language Skills

• Full proficiency in English and German.
• Why you’ll love working with us
• Full ownership of impactful ML components in a fast-growing AI environment.
• A collaborative team that values curiosity, learning, and pragmatic problem-solving.
• Flexible working arrangements (remote or hybrid).
• 30 days of annual vacation.
• Competitive salary depending on experience.
• The chance to work on products that directly shape the future of healthcare.
• Ready to apply?
• If you’re passionate about Machine Learning and want to make an impact in healthcare with cutting-edge AI technologies, we’d love to hear from you!
• I’m Margarita and will be guiding you through the application process.