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Hugging Face

Hugging Face

Hugging Face allows users to build, train, and deploy art models using the reference open source in machine learning.

51-200 employees
Founded 2016
$235M series d
Software Development
Private Company
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Software Development

Open Positions6

EMEA RemoteFull-TimeArtificial IntelligencePosted
Senior Machine Learning Engineer, Voice Agents
  • Take architectural ownership of open-source libraries like speech-to-speech, focusing on pipeline design and real-time latency budgets.
  • Integrate new ASR, TTS, and end-to-end speech models while maintaining clean abstractions.
  • Design and implement developer APIs, streaming protocols, and session lifecycle management for hf-voice.
  • Build and optimize real-time GPU inference, including concurrency, autoscaling, and observability.
  • Take products from demo stage to production, establishing SLOs and load testing protocols.
  • Engage with the community by reviewing PRs, triaging issues, and creating documentation, examples, and templates.
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About Hugging Face

Hugging Face is democratizing machine learning, making cutting-edge AI accessible to everyone. You can build, train, and deploy advanced AI models with our open-source tools and platforms. Over 50,000 organizations, including industry giants like Google and Salesforce, use our technology in production. We are building the fastest growing platform for AI builders, with millions of users sharing models, datasets, and applications.

How We Work

We foster an open-source spirit, encouraging collaboration and continuous learning. You will work with smart, ambitious people who value impact. We believe in building a diverse, equitable, and inclusive workplace. Everyone should feel respected and supported, regardless of background.

  • Work in a remote-first environment with flexible hours and options.
  • Collaborate across global teams, with optional office spaces in NYC and Paris.
  • Benefit from a culture that supports continuous professional development and growth.
  • Receive reimbursement for relevant conferences, training, and education.
  • Join a community dedicated to supporting the broader ML/AI ecosystem.

Engineering at Hugging Face

Engineers at Hugging Face build the foundational tools that empower the AI community. You will solve challenges in large-scale data infrastructure and machine learning deployment. Our technical stack includes Python, data libraries like pandas and PyArrow, and storage systems such as Parquet and S3. We collaborate with major cloud providers and AI accelerator companies, ensuring our tools run efficiently on diverse compute platforms. Your work will shape the future of open data workflows and practical AI applications.

Why Join Us

  • Pioneer the democratization of machine learning with a global impact.
  • Shape the open-source AI ecosystem, contributing to widely used libraries.
  • Work with leading AI organizations and cutting-edge technology.
  • Enjoy significant autonomy and creative control in your role.
  • Become a shareholder, participating directly in the company's success.

Benefits & Perks

  • Competitive salary and company equity for all employees.
  • Flexible working hours and remote-first flexibility.
  • Unlimited time off.
  • Health, dental, and vision benefits for employees and their dependents.
  • Parental leave.
  • Reimbursement for relevant conferences, training, and education.
  • Workstation outfitting provided for remote employees.

Tech Stack

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