ML Engineer - NLP (m/f/d)
Jetzt bewerben
ML Engineer - NLP (m/f/d)

ML Engineer - NLP (m/f/d)

Berlin Vollzeit 36000 - 60000 € / Jahr (geschätzt) Kein Home Office möglich
Jetzt bewerben
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Auf einen Blick

  • Aufgaben: Design, train, and deploy deep learning models for speech recognition and NLP.
  • Arbeitgeber: Voize is revolutionizing healthcare with AI, improving documentation for nurses across 600+ care homes.
  • Mitarbeitervorteile: Enjoy remote work, flexible hours, virtual stock options, and access to learning platforms.
  • Warum dieser Job: Join a fast-growing startup where your work directly impacts healthcare professionals' lives.
  • Gewünschte Qualifikationen: Proficiency in Python, deep learning frameworks, and essential software engineering skills required.
  • Andere Informationen: 30 days of vacation plus your birthday off, and a supportive, open culture.

Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.

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

At voize, we’re revolutionizing the healthcare industry with AI: Nurses simply speak their documentation into their smartphones, and our AI automatically generates the correct entries. This saves each nurse an average of 39 minutes per day, improves the quality of documentation, and makes their daily work much more rewarding.

voize is YCombinator-funded, already in use at over 600 senior care homes , and has grown by 100% in the last 90 days. Our customers save over 3.5 million hours annually – time spent on people instead of paperwork.

But this is just the beginning. With our self-developed voize AI, we’re transforming not only the healthcare industry, but also have the potential to create value in many other sectors – from healthcare to inspections.

As a dynamic team, we blend cutting-edge technology with social impact. And now, it’s your turn to join us!

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 design, training, evaluation, and deployment of our deep learning models in the space of speech recognition and NLP

  • 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

Your Skillset – What you bring to the table

  • Several years production experience with Python and deep learning frameworks (preferably PyTorch)

  • Experience in speech recognition or NLP & transformer models (TTS, STT)

  • Best practices in software engineering come second-nature to you, like Git, Testing, Docker, Clean-code, etc.

  • You speak business fluent English (C1 minimum) to communicate effectively with our team and customers

  • Nice to have: German language skills would be a bonus

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

  • Become a co-creator of our success with virtual stock options

  • Our office is in Berlin, and we offer remote work

  • We provide flexible working hours because you know best when you work most efficiently!

  • Access to various learning platforms (e.g., Blinkist, Audible, etc.)

  • We have an open culture and organize regular work weeks and team events to collaborate and bond

  • We are a fast-growing startup, so you\’ll encounter various challenges, providing the perfect foundation for rapid personal growth

  • Your work will make a real impact, helping alleviate the workload for healthcare professionals

  • Free Germany Ticket and Urban Sports Club membership

  • 30 days of vacation – plus your birthday off

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!

#J-18808-Ljbffr

ML Engineer - NLP (m/f/d) Arbeitgeber: voize

At voize, we are not just an employer; we are a community dedicated to revolutionizing healthcare through innovative AI solutions. Our Berlin office fosters a dynamic and open culture where flexibility, personal growth, and meaningful impact are at the forefront, offering employees 30 days of vacation, remote work options, and access to learning platforms. Join us to be part of a fast-growing startup that values resilience, collaboration, and the opportunity to make a real difference in the lives of healthcare professionals.
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Kontaktperson:

voize HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: ML Engineer - NLP (m/f/d)

✨Tip Number 1

Familiarize yourself with the latest advancements in NLP and speech recognition technologies. Being able to discuss recent trends or breakthroughs during your interview can demonstrate your passion and knowledge in the field.

✨Tip Number 2

Showcase your experience with Python and deep learning frameworks, especially PyTorch. Be prepared to discuss specific projects where you've applied these skills, as practical examples can make a strong impression.

✨Tip Number 3

Highlight your ability to work iteratively and embrace feedback. Voize values resilience and adaptability, so sharing experiences where you learned from challenges can set you apart.

✨Tip Number 4

Since communication is key at Voize, practice discussing complex technical concepts in both German and English. This will help you convey your ideas clearly and effectively during the interview process.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: ML Engineer - NLP (m/f/d)

Python
Deep Learning Frameworks (preferably PyTorch)
Speech Recognition
NLP & Transformer Models
Software Engineering Skills
Git
Docker
Resilience
Iterative Working
Effective Communication in German & English
Constructive Feedback
Problem-Solving Skills
Data Analysis
Model Evaluation and Deployment

Tipps für deine Bewerbung 🫡

Understand the Company: Dive into voize's mission and values. Familiarize yourself with their innovative approach to healthcare and how AI is transforming the industry. This will help you tailor your application to align with their goals.

Highlight Relevant Skills: Make sure to emphasize your experience with Python, deep learning frameworks (especially PyTorch), and any work you've done in speech recognition or NLP. Showcase specific projects or achievements that demonstrate your expertise.

Showcase Your Mindset: voize values resilience, iterative working, and open communication. In your application, provide examples of how you've embraced challenges, learned from feedback, and contributed to team success in previous roles.

Craft a Compelling Cover Letter: Use your cover letter to express your enthusiasm for the role and the company. Discuss why you're excited about the opportunity to work at the intersection of technology and social impact, and how you can contribute to voize's mission.

Wie du dich auf ein Vorstellungsgespräch bei voize vorbereitest

✨Show Your Passion for AI and Healthcare

Make sure to express your enthusiasm for using AI to improve healthcare. Share any relevant experiences or projects that demonstrate your commitment to this field, as voize is focused on revolutionizing healthcare with technology.

✨Demonstrate Your Technical Skills

Be prepared to discuss your experience with Python, deep learning frameworks like PyTorch, and NLP. Bring examples of past projects where you designed, trained, or deployed models, especially in speech recognition or transformer models.

✨Emphasize Your Iterative Approach

Voize values resilience and an iterative working style. Be ready to talk about how you approach challenges, learn from feedback, and continuously improve your work instead of striving for perfection from the start.

✨Communicate Effectively in Both Languages

Since the role requires communication in both German and English, practice discussing your technical skills and experiences in both languages. This will show your ability to connect with the team and customers effectively.

ML Engineer - NLP (m/f/d)
voize
Jetzt bewerben
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