Machine Learning Engineer
Posted 2 Sep 2026
Advertised as “Senior Machine Learning Engineer, Voice Agents - EMEA Remote”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- Remote
- Contract
- Full-time
No salary listed for this role.
At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 3M+ models, 1M+ datasets & 1.47M+ apps. Our open-source libraries have more than 600k+ stars on Github.
About the Role
We are building the open voice-agent stack for Hugging Face, and we are looking for a senior engineer to own a large part of it.Two things sit at the centre of this role. The first is speech-to-speech, our open-source library for realtime voice agents. The second is hf-voice, a new product that will let any developer build and deploy voice agents with their Hugging Face account.
The library already powers the Reachy Mini fleet and there is a public demo running on Spaces, so you won't start from a blank page. But almost everything about how this becomes a product developers rely on is still open, and you will have a direct say in it.
Your missions:
- Own the Open-Source Library:
- Take architectural ownership of large parts of speech-to-speech: pipeline design, latency budget, and the reliability of the realtime loop.
- Integrate new ASR, TTS and end-to-end speech models as they land, and keep the abstractions clean while the model landscape keeps moving.
- Review community PRs, triage issues, cut releases, and grow the group of contributors around the project.
- Ship hf-voice:
- Design the developer API and the streaming protocol: session lifecycle, transport (WebSockets/WebRTC), authentication, error semantics, versioning.
- Build the serving side: realtime inference on GPU, concurrency, autoscaling, observability, and cost per session.
- Work with the Hub and inference teams so that a working voice agent is easy to integrate into products and demos.
- Take the product from demo to production: load testing, SLOs, graceful degradation when a model or a network path misbehaves.
- Work in the Open:
- Write the docs, examples and templates that get a developer from zero to a running agent in minutes.
- Support the deployments already relying on the stack, starting with the Reachy Mini fleet.
- Talk about the work publicly if you enjoy it: blog posts, demos, conference talks. We cover the travel and the prep time.
Requirements
What we're looking for