Senior Machine Learning Engineer (NLP) (all)

Department: AI

Employment Type: Permanent employee

Schedule: Full-time

Seniority: Experienced

Location: Berlin, München, Remote, Luxembourg, Hamburg, Frankfurt, Köln

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 (NLP) (all) 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 role can be performed in a hybrid setup from our offices in Luxembourg or Berlin, or remotely from anywhere in Germany or Luxembourg.

• Model Optimization & Deployment: Fine-tune, evaluate, and deploy state-of-the-art NLP models.
• NLP Application: Apply NLP methods for text processing and analysis.
• MLOps Collaboration: Work with the MLOps team to ensure continuous training for models in production.
• Experimentation: Design and conduct experiments to validate new methods.
• Data Pipelining: Build and maintain language preprocessing workflows.
• Cross-Functional Impact: Collaborate closely with product managers, other ML engineers, and developers to translate the solutions into production.

• Education: Master’s degree in Computer Science, Engineering, or a related technical field or equivalent industry experience.
• Experience: Typically 5-8+ years of experience in ML engineering or related fields.
• Technical Proficiency: Strong programming skills in Python and ML frameworks (PyTorch, Hugging Face Transformers, NLTK, spaCy).
• NLP Specialization: Experience with deep learning language models, including transformers, NER, and tokenizers.
• Production ML Experience: Experience with MLOps pipeline components (Docker, MLflow, W&B).

• Domain Knowledge: Knowledge of multilingual or domain-specific language modeling (medical/legal and other specialized fields).
• Scalability: Experience with distributed training systems.
• Orchestration: Knowledge of Kubernetes.
• Language Skills: English full proficiency, German/French/Italian is a plus.

• 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.