Neurological Speech AI Scientist for Clinical Research

nyra health GmbH

Wien

Hybrid

EUR 70,000 - 120,000

Full time

12 days ago

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Job summary

nyra health in Vienna is looking for an ML Researcher to own research on neurological speech data, moving ideas from initial experiments to production models in myReha and nyra insights. You will collaborate with engineers, therapists and product teams to prioritize impactful problems and ship reliable AI.

The role emphasizes rigorous evaluation, publications, and cross-disciplinary collaboration with founders.

Qualifications

  • MSc or PhD in machine learning, speech processing, NLP or related field.
  • Strong background in speech recognition, audio processing, or related areas.
  • Hands-on experience with PyTorch and training at scale.
  • Track record of publications, open-source contributions, or documented research.
  • Ability to write clean, production-quality Python code.
  • Experience designing experiments, defining metrics, and drawing valid conclusions.

Responsibilities

  • Develop and improve speech and language models for neurological speech data.
  • Prototype clinical AI solutions for therapy content generation and decision support.
  • Explore multimodal approaches combining speech, text, and behavior signals.
  • Design evaluation frameworks, build training pipelines, and benchmarks for clinical contexts.
  • Publish research findings and collaborate with academic partners.
  • Work with Engineering to deploy models into production on-device and in the cloud.

Skills

Speech models
Clinical AI
Multimodal
Data pipelines
Publications
Python coding
PyTorch
Experiment design

Education

MSc or PhD in machine learning, speech processing, NLP

Tools

Whisper
wav2vec
HuBERT
PyTorch

Job description

nyra health in Vienna is looking for an ML Researcher to own research on neurological speech data, moving ideas from initial experiments to production models in myReha and nyra insights. You will collaborate with engineers, therapists and product teams to prioritize impactful problems and ship reliable AI.

The role emphasizes rigorous evaluation, publications, and cross-disciplinary collaboration with founders.

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