ML Engineer

📋 Job Overview

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

🏢 About voize

We are a fast-growing startup that combines cutting-edge technology with meaningful social impact. Our AI companions help frontline workers save time and focus on what matters most. With a strong backing from top-tier investors and a growing user base, we are poised for significant growth and innovation.

🎯 The Role

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.

✅ Key Responsibilities

• 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.

📌 Required Qualifications

• 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

🎁 Benefits

• 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.

🛂 Visa & Eligibility

We look forward to your application and can’t wait to meet you - no matter who you are or what background you have!