- Location
- Vienna, Wien, Austria
- Workplace
- Hybrid
- Type
- Full-time
- Department
- IT
- Seniority
- Mid
- Education
- PhD
- Source
- Recruitee
Description
Every morning, thousands of people relearn to speak with myReha, and your models listen to every attempt.
nyra health builds the digital tools that make neurological rehabilitation work inside and outside clinic walls: myReha, the patient therapy app, and nyra insights, the clinician platform. 100+ clinics, 100K+ patients across DACH. 3× MRR growth target for 2026. €20M Series A. Team of 30+, scaling to ~50 this year. Ownership, excellence and patients first — that’s how we drive progress together.
As our ML Researcher, you’ll report to our Head of ML and own research on nyra health’s neurological speech data, taking ideas from first experiment through to models that run in myReha and nyra insights. You’ll work closely with our Engineering team to bring models into production on-device and in the cloud. You’ll also work alongside our therapists, clinicians and product team, who know the patient problems firsthand and will help you decide which ones are worth solving. You’ll collaborate directly with the founders on nyra’s ML research roadmap, and with our academic partners on publications and joint research projects. It’s a role with a lot of autonomy and real scientific ownership. Your work goes straight to patients relearning how to speak, not to a benchmark leaderboard.
What you'll shape
Speech and language models: Develop and improve models for neurological speech recognition, pronunciation scoring, and phoneme-level analysis — building on our proprietary models
Clinical AI: Research and prototype models for therapy content generation, patient progress prediction, and clinical decision support
Multimodal approaches: Explore combinations of speech, text, and behavioral signals to build richer models of patient recovery
Data pipeline and evaluation: Design evaluation frameworks, build training pipelines, and establish rigorous benchmarks for model performance in clinical contexts
Publication and collaboration: Contribute to scientific publications and collaborate with academic partners on research projects
Production integration: Work with Engineering to deploy models into our production stack — ensuring they run reliably at scale on-device and in the cloud
Research direction: Help shape nyra's ML research roadmap, identifying high-impact opportunities at the intersection of AI and neurological rehabilitation