TL;DR
Senior Research Scientist (Voice AI): Building and deploying state-of-the-art AI models for real-time voice translation and transcription with an accent on pushing model performance and efficiency at scale. Focus on foundational innovation in neural networks, mathematical optimization, and integrating research into production environments.
Location: Munich
Company
hirify.global is a global communications platform powered by Language AI, dedicated to breaking down language barriers with human-sounding translations and intelligent writing suggestions.
What you will do
- Build and deploy custom, state-of-the-art AI models for transcription, voice translation, and text-to-speech generation.
- Train neural networks at scale on dedicated GPU clusters, pushing the boundaries of model performance and efficiency.
- Aggressively optimize end-to-end voice AI technology for demanding, low-latency production environments.
- Work collaboratively with ML Platform, HPC, and DevOps teams to integrate and ship your research to millions.
- Lead research initiatives that advance core understanding of neural networks and their mathematical optimization.
- Participate in the team's shared on-call rotation to ensure service reliability and availability.
Requirements
- Solid mathematical background evidenced by a 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.
- Track record of leading self-directed research projects that go well beyond academic exercises and deliver tangible results.
- English: C1+ required.
Culture & Benefits
- Opportunity to work in the fast-moving AI space with a dynamic team.
- Blend of modern technology, competitive benefits, and an open, welcoming work culture.
- Contribute to products loved by millions worldwide, making a real-life impact.
- Access to cutting-edge resources, including massive proprietary datasets and one of Europe’s most powerful supercomputers.
- Work with a strong support structure of ML Platform, HPC, and DevOps teams.
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