
Machine Learning Researcher
nyrahealth (recruitee) · Remote, we’d love to hear from you
About The Role
Why we need you
nyra health sits on a unique asset: the world's largest labeled dataset of neurological speech — millions of recordings from patients with aphasia, dysarthria, cognitive-linguistic impairments, and other conditions, annotated by professional therapists in real clinical settings. As an ML Researcher, you'll leverage this data to push the boundaries of what AI can do in neurological rehabilitation — building models for speech recognition, pronunciation assessment, therapy personalization, and clinical decision support that no one else can build.
About the Company
At nyra health, we’re building software that makes a real difference. Our tools help clinics, therapists, and patients in their neurorehabilitation journey. Our products — myReha (therapy app) and nyra insights (web platform for patient management and analysis) — deliver evidence-based, AI-powered neurotherapy at scale.
If that resonates with you, we’d love to hear from you.
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
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