Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 3.843 € Gross/Month
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop advanced NLP models for the medical sector, closely collaborate with clinicians, and implement research insights into scalable software solutions.
Job Technologies
Your role in the team
- Join our NLP team as a Senior Machine Learning Engineer and help us build cutting-edge NLP products in the medical field.
- 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.
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Our expectations of you
Qualifications
- MSc or PhD in computer science, mathematics, or related field.
- Expertise in language modeling and general ML architectures.
- Resident in the EU with a valid work permit.
- Vertrautheit mit den Ökosystemen von PyTorch, HuggingFace, SentenceTransformers und MCP.
Experience
- +4 years of proven industry experience in natural language processing and/or information retrieval (or appropriate academic research).
- Extensive experience in software development with Python.
- 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.
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Benefits
Work-Life-Integration
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Health, Fitness & Fun
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Job Locations
Topics that you deal with on the job
This is your employer
XUND
Wien
The 2018 Healthtech Start-up XUND, founded in Vienna, has developed an AI-powered health assistant to improve the quality and accessibility of healthcare. The underlying technology is based on years of research & development in artificial intelligence (AI) and is driven by the automated analysis of over 2 million medical publications through proprietary NLP solutions.
Description
- Company Size
- 1-49 Employees
- Founding year
- 2018
- Language
- German, English
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Healthcare, Social Sector, Internet, IT, Telecommunication
Senior Machine Learning Engineer
- Salary
- from 3.843 € Gross/Month
- Location
- Vienna
- Working Model
- Hybrid, Onsite
