Senior Machine Learning Engineer (ASR) (all)

Sonia; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

30 days annual vacation

Flexible working arrangements

Remote or hybrid work options

Zusammenfassung

Sonia is seeking a Machine Learning Engineer to lead ASR model development and data pipelines in a healthcare AI context. You will fine-tune and deploy models like Whisper and wav2vec, curate domain datasets, and build robust audio processing workflows.

You will collaborate with MLOps, product managers, and developers to translate speech solutions into production-ready tools for clinicians. Flexible, remote or hybrid work options are available, with a competitive salary based on experience.

Qualifikationen

• Master’s degree in CS or Engineering.
• 5–8+ years of ML engineering experience.
• Proficient Python with production ML deployment.
• ASR experience with Whisper, wav2vec, or similar.
• Experience with PyTorch, TensorFlow, or JAX.
• MLOps basics: Docker, MLflow, W&B, DVC, Kubernetes.

Aufgaben

• ASR model development: fine-tune, evaluate, deploy state-of-the-art models.
• Data curation: source, annotate, quality control, alignment/segmentation.

Kenntnisse

Python

PyTorch

TensorFlow

JAX

ASR expertise

Data curation

MLOps

Production deployment

Ausbildung

Master’s degree in Computer Science or Engineering

Tools

Docker

MLflow

Weights & Biases

DVC

Kubernetes

Jobbeschreibung

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.

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.

About Us

At Sonia, we’re building more than just a product — we’re building a team that helps doctors succeed with the power of AI. To grow and shape the future of healthcare, we’re looking for people who want to create, challenge, and collaborate — and have fun while doing it. We believe teams thrive when different perspectives come together and work toward a shared goal. We welcome and respect everyone for who they are, regardless of origin, gender, age, religion, disability, or sexual identity. We’re excited to meet people from all backgrounds who want to bring their unique perspective to our mission.