Senior Machine Learning Engineer

XUND is a leading digital health scale-up that enables healthcare companies to digitize patient interactions and translate data into actionable insights.

It's our vision to improve the quality and accessibility of healthcare by bringing together medicine, technology, and a human-centered mindset. But we cannot do it alone: we need leaders, doers, and innovative minds to turn our vision into reality.

That is why we are looking for an ambitious, highly committed, and entrepreneurial team player who shares our values of putting patients first, building an inspiring and open environment and challenging the status quo.

The Role

Join our NLP team as a Senior Machine Learning Engineer and help us build cutting-edge NLP products in the medical field. Your NLP expertise will drive the teams modeling efforts using real-world large scale data from healthcare providers. You will work closely with medical experts as well as business partners to bring value to patients and practicing doctors alike.

Your Responsibilities

• Develop and deploy high-quality NLP models that directly support clinicians and patients
• Drive innovation in applied language modeling, contributing to research on domain-specific LLMs and retrieval-augmented systems for medical contexts
• Translate research insights into scalable, production-grade software efficiently in an agile and close-knit team
• Work closely with clinicians to define needs and validate model behavior
• Shape technical direction and best practices for NLP and ML engineering
• Collaborate in research projects with universities and healthcare providers

Your Profile

• MSc or PhD in computer science, mathematics, or related field
• +4 years of proven industry experience in natural language processing and/or information retrieval (or appropriate academic research)
• Expertise in language modeling and general ML architectures
• Extensive experience in software development with Python
• Resident in the EU with a valid work permit

Nice to have

• Professional or academic experience in the medical domain
• Experience with designing and overseeing medium- or large-scale data annotation campaigns, pre-training/fine-tuning LLMs, RLHF
• Familiarity with the PyTorch, HuggingFace, SentenceTransformers, and MCP ecosystems

Your Benefits

• Embark on a journey with one of Europe's fastest-growing digital health scale-ups and make a real impact in a purpose-driven environment
• Take on exciting challenges while working in a dynamic space where creativity and fresh ideas are always encouraged.
• Benefit from a dedicated training budget and professional development time, because we believe in growing together and supporting your skill-building journey.
• Enjoy the flexibility to work from wherever suits you best – whether that's your cozy home office, a café down the street, or one of our offices in Vienna, Budapest, or London.
• Join regular team events at each office and several company-wide celebrations throughout the year to connect with colleagues, share experiences, and create lasting memories.
• Be part of a vibrant, open culture with flat hierarchies and direct communication, where your voice matters and everyone's ideas are heard.
• Plus, office dogs They're here to keep the vibes chill and remind us all to take a paws and relax.

The reference gross salary for Hungary is HUF / month. Willingness to overpay is given and depends on the respective qualification and experience. On top of that, we also let all our employees participate in our Virtual Stock Option Plans (VSOPs), ensuring that they can directly benefit from our collective success.

At XUND, we know that innovation happens when different perspectives come together. Whether you're a coding whiz, a health enthusiast, a spreadsheet guru, or a creative problem-solver, we value what you bring to the team. If you're excited about this role but feel like you don't "check all the boxes," don't worry – we still want to hear from you We're committed to fostering an inclusive space where everyone's contributions are valued and respected, and we encourage candidates of all backgrounds, identities, and experiences to apply. If you're eager to make an impact, we'd love to hear from you