Senior Machine Learning Engineer, Voice Agents - EMEA Remote
Hugging Face2 months ago
Remote, EMEASenior
Responsibilities
- Own the architecture, pipeline design, latency budget, and realtime-loop reliability of the open-source speech-to-speech library.
- Integrate ASR, TTS, and end-to-end speech models while maintaining clean abstractions.
- Review community pull requests, triage issues, cut releases, and grow the contributor community.
- Design hf-voice developer APIs, streaming protocols, session lifecycle, transport, authentication, error semantics, and versioning.
- Build realtime GPU inference serving with concurrency, autoscaling, observability, and cost-per-session controls.
- Collaborate with Hub and inference teams to make voice-agent integration straightforward.
- Take hf-voice from demo to production through load testing, SLOs, and graceful degradation.
- Write documentation, examples, and templates; support existing deployments; and optionally present the work publicly.
Requirements
- Senior-level ownership of a substantial architecture and the ability to drive work autonomously.
- Experience building developer-facing infrastructure at an AI or developer-tools company, such as inference APIs or agent infrastructure.
- Substantial open-source contributions to a Python library and comfort with async Python and distributed systems failure modes.
- Experience shipping realtime systems involving streaming, WebSockets, WebRTC, audio or video pipelines, or live inference.
- Practical production experience with LLMs or multimodal models.
- Clear written communication and experience collaborating asynchronously and publicly.
- Motivation to work on voice and conversational AI.
- Bonus qualifications include voice-agent framework contributions, llama.cpp or other low-level inference runtime work, ASR/TTS experience, GPU serving, quantization, on-device inference, audio pipeline expertise, embedded or robotics deployment, and a public record of talks, blog posts, or demos.
Benefits
- Fully remote work with flexible working hours; the role is based in the EMEA region.
- Health, dental, and vision benefits for employees and dependents.
- Parental leave and flexible paid time off.
- Reimbursement for relevant conferences, training, and education.
- Access to NYC and Paris offices and opportunities for remote employees to visit them.
- Workstation outfitting when needed.
- Company equity for all employees.
- Travel and preparation time covered for public talks, demos, or conferences.
Tech Stack
Categories
About Hugging Face
Hugging Face builds an open platform and tools for machine learning developers to share, build, and deploy models, including the Hugging Face Hub, Transformers, and hosted inference services. Its business model combines open-source libraries with paid managed inference, enterprise hosting, and commercial partnerships. Founded in 2016 and privately held, the company serves a global developer community with millions of models, datasets, and apps hosted and reports over 11 million users.