ML Engineer - NLP (m/f/d)

voize; Berlin; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A pioneering AI startup is looking for talented individuals passionate about deep learning and natural language processing. The role involves designing and deploying AI models to improve frontline worker experiences. You will work with a team that values collaboration and offers flexible working arrangements. Competitive perks include stock options and generous vacation days, making this an exciting opportunity for growth and impact in the healthcare sector.

Leistungen

30 vacation days plus birthday off

Germany Transport Ticket

Access to Urban Sports Club

Learning platforms like Blinkist and Audible

Free language courses

Qualifikationen

• Several years production experience with Python and deep learning frameworks (PyTorch).
• Experience in NLP and Transformer-based models.
• Solid software engineering mindset with clean code principles.

Aufgaben

• Take ownership for the full lifecycle of models including design, training, evaluation, and deployment.
• Build and improve deep learning models for speech recognition and natural language understanding.
• Develop large-scale self-supervised training pipelines and low-latency inference systems.

Kenntnisse

Python

Deep Learning

NLP

Transformer-based models

GitOps

English (C1)

German

French

Jobbeschreibung

🎤 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 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!

💡 Your Mission:

If you're 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 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

🤝 Your Skillset – What you bring to the table

• 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

🌱 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!