Senior Machine Learning Engineer, Voice Agents - EMEA Remote

Hugging Face is hiring a Senior Machine Learning Engineer to help build its voice-agent platform, with work focused on the open-source speech-to-speech library and the new hf-voice product. Day to day, the role involves owning parts of the realtime voice stack, improving pipeline design and latency, bringing in new speech recognition and text-to-speech models, and handling community pull requests, issues, releases, and contributor growth. It also includes designing the developer API and streaming setup, building the serving layer for realtime GPU inference, scaling, monitoring, and controlling session costs, and helping move the product from demo stage to production readiness. The advert also mentions writing documentation, examples, and templates for developers. The skills and tools named include ASR, TTS, end-to-end speech models, WebSockets, WebRTC, authentication, error handling, versioning, observability, load testing, SLOs, and graceful degradation. It asks for a senior engineer, but does not give a specific number of years or a qualification requirement. No language requirement is stated. The role is remote and is for the EMEA region. It appears suited to an experienced engineer who is comfortable working in open source and helping shape both product and infrastructure.