Senior ML Engineer - Speech (m/f/ d)

About voize

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.

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. Today, 2,000+ facilities trust voize, and over 200,000 users rely on our AI companion to ease their daily workload.

Your Mission

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 . With us, you'll build products with direct user feedback, train AI models with real data, and ship new features to production every day.

Your Daily Business

• 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 improve a diverse family of speech models live in the field, across languages and products, and engineer fast inference on mobile devices and in hosted environments.

Growing together - what you can expect at voize

• 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.

Your Skillset - What you bring to the table

• 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
• Strong software engineering : clean code, tests, guardrails