ML Engineer - NLP

• 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

Do you have experience in Python?, * 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

• We are a fast-growing startup, that means you will tackle challenges, grow quickly, and make a real impact, giving frontline workers more time for people
• We foster an open, collaborative culture with regular team events, whether you work from our Berlin office or remotely across 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, plus free language courses
• You decide when you work best, that means flexible working hours and a good hybrid set-up

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. As a fast-growing team, we combine first-in-class technology with meaningful social impact. And now, we're looking for you to join us on this mission!