Voice-driven care documentation for better patient outcomes
Voize is a Berlin-based startup revolutionizing care documentation with its AI-powered speech recognition software. Backed by Y Combinator, Voize has raised $59.2 million in funding and aims to streamline administrative tasks for healthcare providers in Germany. Their innovative solution allows care...
Voize offers stock option packages, flexible work hours, and a remote-friendly workplace. Employees enjoy regular team events and an open culture that...
Voize promotes a unique culture focused on leveraging voice technology to improve healthcare documentation. The team values flexibility and creativity...
voize • Berlin
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 busywork and complex systems that pull them away from what matters most: people.
Our vision is to change that by building AI companions that seamlessly take over digital workflows. We don’t replace humans with technology - we amplify their impact.
voize is backed by Ycombinator and Europe’s leading VCs, already installed in over 1.000 senior care homes and trusted by more than 75.000 users. With our self-developed voize AI, we’re transforming the healthcare industry and creating value in other sectors too.
As a dynamic team, we blend cutting-edge technology with social impact. And now, we are looking for You to join us!
If you're a Machine Learning Engineer experienced with Speech recognition and are excited to work at the cutting edge of product design, applied ML research, and MLOps, then go ahead and apply! With us, you'll build products with direct user feedback, train AI models with real data, and ship new features to production every day.
Several years hands-on experience in Deep Learning for speech recognition, including developing and optimising ASR-systems (not just academic research)
Excellent foundation in STT (Speech-to-Text) system development with a focus on real-world applications
Experience with owning the ML process end-to-end: from concept and exploration, to model productionization, maintenance, monitoring and optimization
Shipped ML models to production with Python and PyTorch
Trained new models from scratch and not just fine-tuning existing ones
Take ownership for the design, training, evaluation, and deployment of our deep learning models in the space of speech recognition
The models you build and refine are at the heart of our applications and directly impact the end-user
You'll get to engineer large self-supervised trainings as well as fast inference for mobile devices and hosted environments
Resilience is one of your strengths – you see challenges as opportunities, not obstacles
Iterative working suits you – you test, learn, and improve constantly instead of waiting for perfection
Communication & feedback come naturally to you – you openly address issues and both give and receive constructive feedback
We are a fast-growing startup, that means you will tackle challenges, grow quickly, and make a real impact, giving healthcare professionals more time for real patient care
We foster an open, collaborative culture with regular team events, whether you work from our Berlin office or remotely from Germany
Become a co-creator of our success with stock options
Generous perks: 30 vacation days plus your birthday off, Germany Transport Ticket, Urban Sports Club, regular company off-sites, and access to learning platforms such as Blinkist and Audible
You decide when you work best, that means flexible working hours and a good hybrid set-up.
We look forward to your application and can’t wait to meet you – no matter who you are or what background you have!
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