---
title: 'Senior ML Engineer - NLP (m/f/d) at voize'
canonical: 'https://feeny.ai/job/senior-ml-engineer-nlp-m-f-d-voize-berlin-zq7x2gebmnxc'
type: 'job'
last_seen: '2026-11-09'
---

# Senior ML Engineer - NLP (m/f/d) at voize

- **Company:** voize
- **Location:** Berlin, Germany
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-11-06
- **Last confirmed live:** 2026-11-09
- **Apply:** https://jobs.ashbyhq.com/voize/f4939c9a-041c-4383-80e0-1072c8f48241

## Job description

🎤 Why voize? At voize, we believe the greatest gift to frontline workers is time: time to care, connect and be present. Our AI helps care professionals turn spoken notes into structured documentation, so they can spend less time on administrative work and more time with people. More than 200,000 care workers use voize. Join us to build technology that makes a difference in their daily work.

💡 Your mission Build agents that nurses can trust: accurate, fast and safe enough for real-world care. You’ll combine hands-on ML with thoughtful engineering and rigorous evaluation, using production data and feedback to improve the product. We’re hiring four ML engineers through one process. Depending on your strengths and interests, you’ll work on hospital documentation, US senior care, German care agents or the shared NLP platform. You’ll be part of the NLP chapter and work closely with product and engineering colleagues.

🚀 What you’ll do

- Build and improve LLM agent workflows for nursing forms, assessments, care reports and care-plan suggestions, working on tools, context, state and prompts.
- Own evaluation for your area: create benchmarks from production traces and synthetic scenarios, build regression tests and use results to inform what ships.
- Investigate real-world failures, reproduce issues across the app, backend and models, and turn what you learn into fixes, tests and data-labeling tasks.
- Train or adapt models where they outperform rented frontier models on quality, speed, cost or privacy—for example, for personal-data detection or smaller, faster models.
- Make latency, cost and privacy part of your engineering decisions, from model routing and caching to protecting sensitive data.
- Partner with product, engineering, data and customer-facing teams, and use feedback from care professionals to guide improvements.

🤝 What you bring

- Experience training, evaluating and shipping ML or NLP models to production, and explaining the decisions and results behind your work.
- Experience building evaluations for ML or LLM systems and using error analysis and regression tests to guide product decisions.
- Hands-on experience with LLMs in production, including agents or tool use, structured outputs and context design.
- Strong software engineering skills: you write tested, reviewable production code and can learn an unfamiliar language or framework.
- An end-to-end approach to messy problems, sound judgment with sensitive data, and the ownership to work through ambiguity in a fast-paced product team.
- Fluent English.

🛠️ Our stack Our ML and evaluation tooling uses Python; our agent and app code uses Kotlin Multiplatform and JetBrains Koog. We use Claude through our inference service, alongside open and on-device models where they make sense. You don’t need to know our specific languages or frameworks before joining: depth and the ability to learn matter more than a keyword match.

🌱 What you can expect

- Work on a product used by care professionals, with direct feedback and a clear social impact.
- Shape a young agent stack and grow into ownership of a domain, market or technical area.
- Do real ML work, from training and evaluation to production, alongside collaborative engineering and product teams.
- Join a team that values written communication, shared learning and regular time together.
- Become a co-creator of our success with stock options and access to language courses.

✨ Ready to talk? Apply to join us in giving care professionals more time for people. We look forward to hearing about the systems you’ve built, what you learned and the impact they had.

## About voize

## Company Overview
- **One-liner**: voize builds an AI companion for nurses that converts spoken notes into structured documentation, synced in real time to Electronic Health Records (EHRs), giving caregivers back up to 30% of their time per shift.
- **Entity Type**: Private (funded: Series A, Winter 2022 Y Combinator batch)
- **Headquarters**: Berlin, Germany
- **Founded**: 2020
- **Founders**: Fabio Schmidberger (CEO), Marcel Schmidberger (COO), Erik Ziegler (CTO)

## Core Business
- **Primary industry/industries**: Healthcare IT, AI-powered clinical documentation, skilled nursing and elder care
- **Target customers**: B2B – skilled nursing facilities, long-term care homes, and other healthcare providers employing frontline nurses
- **Mission or purpose statement**: “Give time back to those who care” – eliminate administrative burden so nurses can focus on people, not paperwork.

## Products & Services
- **[AI Companion for Nurses]**: A voice-based AI solution that runs locally on smartphones (no constant internet connection required). It listens as nurses speak during care, automatically structures and categorizes notes, and syncs them in real time to existing EHR systems. Designed for point-of-care documentation with offline capabilities.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding – $50M Series A (announced November 2025)
- **Notable Investors/Partners**: Balderton Capital (lead), HV Capital, Redalpine, Y Combinator (Winter 2022). Primary YC Partner: Nicolas Dessaigne.
- **Growth Signals**: 180,000+ nurses use voize; 1,100+ care facilities in Germany and Austria; 200M+ documented entries; 27% reduction in documentation time per shift; 9% more time on patient care; 15% reduction in staff turnover; care homes feature voize in job ads to attract nurses. The company is expanding into the US market.

## Competitive Advantages
- **Purpose-built for nursing** – developed in-house over tens of thousands of hours in care homes, not a generic AI repurposed for healthcare.
- **Offline-first architecture** – runs locally on smartphones, ensuring high data protection and continuous operation even when Wi-Fi fails, a first in healthcare AI.
- **Language & dialect support** – understands complex medical language, regional dialects, and non-native speakers, empowering diverse care teams.
- **Deep EHR integration** – bi-directional sync with all major EHRs for skilled nursing and long-term care, fitting naturally into existing workflows.

## Strategic Focus
- **European expansion and US market entry** – the $50M Series A will accelerate geographic growth and product development.
- **Expanding beyond documentation** – the AI companion will eventually cover all administrative workflows for frontline workers, starting with nursing.
- **Deepening integration with care facilities** – proven impact on nurse satisfaction and retention makes voize a tool that helps facilities attract and retain staff.

## Why Work Here
- **Culture & values**: Humans First, Aim for Epic, Act with Urgency, Care Always, Own the Outcome, Turn Complexity into Clarity. Emphasis on cross-functional collaboration, empathy, and making a real difference in healthcare.
- **Work policy**: Flexible work arrangements and remote-friendly policies – work from the Berlin office or from home, with the option to work from different EU countries.
- **Perks**: 30 vacation days + birthday off, Urban Sports Club membership, and a team that prioritizes connection and celebration alongside meaningful work.
- **Engineering culture**: “We make the complex simple” – the engineering team works on cutting-edge AI models, speech recognition, and offline mobile tech. High autonomy, iterative experimentation, and focus on results.

## Sources
1. [voize.ai – About](https://www.voize.ai/us/about)
2. [voize.ai – Careers](https://www.voize.ai/us/careers)
3. [voize.ai – Product](https://www.voize.ai/us)
4. [Y Combinator – voize](https://www.ycombinator.com/companies/voize)
5. [Tech.eu – voize lands $50M](https://tech.eu/2025/11/17/voize-lands-50m-to-bring-ai-where-its-needed-most-the-nursing-frontline/)

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