About XUND
XUND is a leading digital health scale-up enabling healthcare companies to digitize patient interactions and translate data into actionable insights. They aim to improve healthcare quality and accessibility by combining medicine, technology, and a human-centered mindset.
The Role
Join the NLP team as a Senior Machine Learning Engineer to build cutting-edge NLP products in the medical field. Drive modeling efforts using large-scale healthcare provider data, collaborating with medical experts and business partners to bring value to patients and doctors.
Your Responsibilities:
- Develop, validate, and deploy NLP models to support healthcare professionals and patients
- Build and ship software efficiently in an agile, close-knit team
- Collaborate in research projects with universities and healthcare providers
Your Profile
- MSc or PhD in computer science or related field
- 4+ years of proven industry/academic experience developing NLP models (e.g., RAG, NER, information extraction)
- Extensive Python software development experience
- Resident in the EU with work permit
Nice to Have:
- Professional or academic experience in the medical domain
- Experience with cloud computing & machine learning pipelines (e.g., S3, dvc, WandB, CI/CD)
Your Benefits
- Work in one of Europe’s fastest-growing digital health scale-ups, making a real impact in a purpose-driven environment
- Exciting challenges in a dynamic and creative workspace
- Dedicated training budgets and professional development time
- Flexible work location including home office or offices in Vienna, Budapest, or London
- Regular team events and company-wide celebrations
- Vibrant, open culture with flat hierarchies and direct communication
- Office dogs for a relaxed atmosphere
Minimum salary according to IT collective agreement (EUR 4,350 gross monthly for full-time). Willingness to overpay based on qualifications and experience. Employees can participate in Virtual Stock Option Plans (VSOPs).
Inclusive Culture
XUND values diverse perspectives and encourages candidates from all backgrounds to apply, fostering an inclusive workplace where contributions are respected.