Voice Research Scientist
DeepL
full-time
Posted on:
Location Type: Hybrid
Location: Munich • Germany
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Tech Stack
About the role
- Build and deploy custom, state-of-the-art AI models for transcription, voice translation, text-to-speech generation, and other challenging audio and text modalities.
- Train state-of-the-art neural networks at scale on DeepL's dedicated GPU clusters, pushing the boundaries of model performance and efficiency.
- Aggressively optimize our end-to-end voice AI technology for demanding, low-latency production environments where every millisecond counts.
- Work collaboratively within a large, world-class tech organization, integrating your research with a strong support structure of ML Platform, HPC, and DevOps teams to ship your work to millions.
- Lead research initiatives that advance our core understanding of neural networks and their mathematical optimization, directly impacting our product's quality and capabilities.
- Participation in our on-call rotation: You’ll ensure the reliability and availability of our services by being available to join the team's shared on-call rotation as needed.
Requirements
- PhD or equivalent industry experience in mathematics, physics, computer science, or a related field
- Proven experience building and shipping large-scale deep learning models to production environments
- Deep practical experience in Python and at least one modern machine learning framework such as PyTorch, TensorFlow, or JAX.
- High proficiency in English; knowledge of German or other languages is a plus.
Benefits
- competitive benefits
- an open, welcoming work culture that enables our people to thrive
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI modelsneural networksdeep learningPythonPyTorchTensorFlowJAXmodel optimizationlow-latency productiontranscription
Soft skills
collaborationleadershipresearchcommunicationproblem-solving
Certifications
PhD