ML Engineer - Speech (m/f/d)

voize; Berlin; Hybrid; EUR 60.000 - 85.000; Vollzeit

Zusammenfassung

A proactive AI startup in Berlin is looking for a Machine Learning Engineer experienced in speech recognition. The successful candidate will design and deploy deep learning models that directly enhance user applications. Requirements include hands-on experience in deep learning, STT development, and the ability to manage the ML process from concept to production. Enjoy generous perks, flexible hours, and a collaborative company culture focused on making a real impact in healthcare.

Leistungen

30 vacation days plus birthday off

Germany Transport Ticket

Urban Sports Club membership

Regular company off-sites

Access to learning platforms like Blinkist and Audible

Qualifikationen

• Several years hands-on experience in Deep Learning for speech recognition.
• Excellent foundation in STT (Speech-to-Text) system development.
• Experience with owning the ML process end-to-end.

Aufgaben

• Design, evaluate, and deploy deep learning models in the space of speech recognition.
• Directly impact end-user applications with refined models.
• Engineer large self-supervised trainings for mobile devices.

Kenntnisse

Deep Learning for speech recognition

STT (Speech-to-Text) system development

Owning ML process end-to-end

Shipping ML models in Python and PyTorch

Training new models from scratch

Jobbeschreibung

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

At voize, we believe the greatest gift to 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.

voize is backed by Ycombinator and Europe’s leading VCs, already installed in over 1.000 senior care homes and trusted by more than 75.000 users. With our self-developed voize AI, we’re transforming the healthcare industry and creating value in other sectors too.

As a dynamic team, we blend cutting-edge technology with social impact. And now, we are looking for You to join us!

💡 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 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

• Trained new models from scratch and not just fine-tuning existing ones

🚀 Your Daily Business – No two days are alike

• Take ownership for the design,, 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

🎯 Our Success Mindset – How we work at voize

• Resilience is one of your strengths – you see challenges as opportunities, not obstacles

• Iterative working suits you – you test, learn, and improve constantly instead of waiting for perfection

• Communication & feedback come naturally to you – you openly address issues and both give and receive constructive feedback

🌱 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 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.

✨ 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!