Senior Machine Learning Engineer, Voice Agents - EMEA Remote

Paris, France
Remote

About the Role

At Hugging Face in the Technology space, Democratizing AI through open-source tools and collaborative innovation.

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.

Want to learn more about what it's like to work at Hugging Face? View our full profile.

Requirements

  • 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.
  • Practical experience with LLMs or multimodal models in production. Clear written communication and a habit of collaborating async and in public.
  • Motivated by voice and conversational AI.

Benefits

  • Equity Compensation: company equity as part of their compensation package.
  • Flexible Work Hours: offer flexible working hours.
  • Health Insurance: health, dental, and vision benefits for employees and their dependents.
  • Home Office Stipend: outfit your workstation to ensure you succeed.
  • Learning Budget: reimbursement for relevant conferences, training, and education.
  • Paid Parental Leave: parental leave.
  • Paid Time Off: flexible paid time off.
  • Remote-Friendly: remote options.

What It's Like to Work at Hugging Face

What It's Like to Work Here

Zap Move Fast, Stay Focused
Users Pluralism & Decentralized Thinking
Heart Kind Ambition
Globe Open Source DNA
Lightbulb Continuous Learning & Growth
Compass Mission-Driven Work

Frequently Asked Questions About Working at Hugging Face

Common questions candidates ask about this role and Hugging Face's workplace

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Please review the specific job listing or contact Hugging Face's recruiting team for details on remote or hybrid work options for this role.

Salary information may vary by role and location. Please check the specific job listing or discuss compensation during the interview process.

Hugging Face is an established organization in its industry. The company focuses on maintaining a supportive workplace culture for all employees.

Key benefit categories include: Health & Wellness, Work-Life Balance, Professional Development, Compensation & Equity. For this role specifically, benefits include: Equity Compensation: company equity as part of their compensation package., Flexible Work Hours: offer flexible working hours., Health Insurance: health, dental, and vision benefits for employees and their dependents., Home Office Stipend: outfit your workstation to ensure you succeed., Learning Budget: reimbursement for relevant conferences, training, and education., Paid Parental Leave: parental leave., Paid Time Off: flexible paid time off., Remote-Friendly: remote options.. You can view more details on their CertCheck profile.

The day-to-day environment is guided by core values such as Move Fast, Stay Focused and Pluralism & Decentralized Thinking and Kind Ambition.

The company has committed to inclusive practices including: Democratizing AI for All and Fostering Inclusive Innovation.

Hugging Face has a supportive and collaborative culture, recognized as a loved place to work by its team members.

Hugging Face currently has 6 open positions. You can view all current openings at certcheck.mostlovedworkplace.com/companies/hugging-face/jobs.

The interview process typically involves an initial recruiter screen followed by team interviews. Please contact Hugging Face's recruiting team for specific details on this role's process.

Apply for Senior Machine Learning Engineer, Voice Agents - EMEA Remote

Submit your application directly to the Hugging Face team. Let them know why you'd be a strong addition to their team.

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