Hugging Face
Senior Machine Learning Engineer, Voice Agents - EMEA Remote
Remote role where the employee must remain based in a particular country.
France only
Employer listed it 3 weeks ago · Added today
Been open since 3 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
France only
Work style
Async
Contract
Full-time
Experience
Senior
Category
Data
This employer didn't state pay. Jobs like this usually pay around $145k–$210k a year, a typical range taken from 255 senior-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in France. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Paris, France"
What Nomaders makes of it
- Residency required in France
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the 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
Senior engineer, able to own a substantial part of an architecture and drive it forward autonomously.
Experience building developer-facing infrastructure at an AI or developer-tools company: inference APIs, agent infrastructure, or something comparable.
Substantial open-source contributions to a Python library. Comfortable with async Python and distributed systems, including their failure modes.
You have shipped something realtime: streaming, WebSockets or WebRTC, audio or video pipelines, live inference.
Requirements
- ·What we're looking for
- ·Senior engineer, able to own a substantial part of an architecture and drive it forward autonomously.
- ·Experience building developer-facing infrastructure at an AI or developer-tools company: inference APIs, agent infrastructure, or something comparable.
- ·Substantial open-source contributions to a Python library. Comfortable with async Python and distributed systems, including their failure modes.
- ·You have shipped something realtime: streaming, WebSockets or WebRTC, audio or video pipelines, live inference.
Benefits
- ·More about Hugging Face
- ·We support the community . We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Hugging Face, mentioning your remote working experience and working hours (Async).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 18h ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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