Hugging Face

Senior Machine Learning Engineer, Voice Agents - EMEA Remote

Hugging Face
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3 days 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

Hugging Face

About Hugging Face

1,001-5,000 employees
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