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

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Onsite

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

voize-l

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

Skills

Deep LearningPythonPyTorchMachine LearningAI

12 days ago

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Important information


Contract type:

Permanent

Location:

Berlin, Germany

Work mode:

Onsite

Published on:

11 October 2026

What they need


OverviewApplication

🎤 Why voize? Because we’re more than just a job!

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! 💡 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, 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.

🚀 Your Daily Business - No two days are alike

  • 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.

🤝 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

🌱 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.

✨ Ready to talk? Apply now! 🚀

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

🎤 Why voize? Because we’re more than just a job!

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! 💡 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, 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.

🚀 Your Daily Business - No two days are alike

  • 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.

🤝 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

🌱 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.

✨ Ready to talk? Apply now! 🚀

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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