Role overview
At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present. Today, that time is lost to admin work that pulls nurses away from what matters most: people.
We’re changing that by building the AI companion that frees nurses from admin, giving them back up to 30% of time. We don’t replace humans - we support and amplify their impact. Today, 1,500+ care facilities trust voize, and over 150,000 nurses rely on our AI companion to ease their daily workload.
Our mission is backed with a $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs.
What you'll work on
- Take ownership for the full lifecycle of our models: design, training, evaluation, and deployment of our deep learning models in the space of speech recognition and NLP
- Build and continuously improve deep learning models for speech recognition and natural language understanding that power our core product and help thousand of users
- Develop and run large-scale self-supervised training pipelines, as well as low-latency inference systems for mobile devices
What we're looking for
- Several years production experience with Python and deep learning frameworks (PyTorch)
- Experience in NLP and Transformer-based models
- Solid software engineering mindset: clean code, GitOps, Flux, kb8s are second nature to you
- You speak business fluent English (C1 minimum) to communicate effectively with our team and customers
- Nice to have: German or French language skills
Tags & focus areas
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