TL;DR

Research Scientist, Voice AI (AI): Building and deploying custom, state-of-the-art AI models for transcription, voice translation, and text-to-speech generation with an accent on challenging audio and text modalities. Focus on end-to-end voice AI technology optimization for demanding, low-latency production environments.

Location: London

Company

%hirify_global% is a global communications platform powered by Language AI, dedicated to breaking down language barriers.

What you will do

Build and deploy custom, state-of-the-art AI models for various audio and text modalities.
Train state-of-the-art neural networks at scale on %hirify_global%'s dedicated GPU clusters.
Aggressively optimize end-to-end voice AI technology for demanding, low-latency production environments.
Collaborate within a large, world-class tech organization, integrating research with ML Platform, HPC, and DevOps teams.
Lead research initiatives that advance the core understanding of neural networks and their mathematical optimization.
Ensure the reliability and availability of services by participating in an on-call rotation as needed.

Requirements

You have a solid mathematical background and enjoy solving challenging problems, evidenced by a PhD or equivalent industry experience.
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.
A track record of leading self-directed research projects that deliver tangible results.
High proficiency in English: C1+ required; knowledge of German or other languages is a plus.

Research Scientist, Voice Ai (AI)