At voize, weβre revolutionizing the healthcare industry with AI: Nurses simply speak their documentation into their smartphones, and our AI automatically generates the correct entries. This saves each nurse an average of 39 minutes per day, improves the quality of documentation, and makes their daily work much more rewarding.
voize is YCombinator-funded, already in use at over 600 senior care homes, and has grown by 100% in the last 90 days. Our customers save over 3.5 million hours annually β time spent on people instead of paperwork.
But this is just the beginning. With our self-developed voize AI, weβre transforming not only the healthcare industry, but also have the potential to create value in many other sectors β from healthcare to inspections.
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 β you see challenges as opportunities, not obstacles
Iterative working suits you β you test, learn, and improve constantly instead of waiting for perfection
Communication & feedback come naturally to you β 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 canβt wait to meet you β no matter who you are or what background you have!