Senior Machine Learning Engineer, Voice Agents - EMEA Remote

    Hugging Face

    Global Remote · ParisNew
    ML Engineering

    About the role

    Hugging Face is hiring a Senior Machine Learning Engineer to own a large part of its open voice-agent stack. The role centres on two things: speech-to-speech, the open-source library for realtime voice agents, and hf-voice, a new product that will let developers build and deploy voice agents with their Hugging Face account. The library already powers the Reachy Mini fleet and a public demo runs on Spaces, so you will not start from a blank page.

    You will take architectural ownership of pipeline design, latency budgets and the reliability of the realtime loop, integrate new ASR, TTS and end-to-end speech models, review community PRs and grow the contributor group. On the product side you will design the developer API and streaming protocol, build realtime.

    Highlights

    • Own architecture for the open-source speech-to-speech library and the hf-voice product.
    • Work across ASR, TTS, end-to-end speech models, WebSockets/WebRTC and realtime GPU inference.
    • Collaborate async and in public, with docs, examples, blog posts and conference talks.
    • EMEA remote role at a company building open AI tooling for a large developer community.

    This recap is dataskew's editorial summary, not the company's copy.