ML Engineer – NLP
voize
full-time
Posted on:
Location Type: Remote
Location: Germany
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About the role
- 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 thousands of users
- Develop and run large-scale self-supervised training pipelines, as well as low-latency inference systems for mobile devices
Requirements
- 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
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythondeep learningPyTorchNLPTransformer-based modelsself-supervised traininglow-latency inference systemsclean codeGitOpsFlux
Soft Skills
communicationbusiness fluent Englishteam collaboration