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← Hugging Face

Open-Source Machine Learning Engineer - US Remote

Hugging Face

CHECKED 12H AGO

Infrastructureremote
Apply on the lab’s site ↗

At a glance

Highlights

  • Improve the open-source ML ecosystem used by millions of builders.
  • Foster one of the most active machine learning communities in the open.
  • Help democratize good AI and make complex technology more accessible.

What they offer

  • Company equity for all employees
  • Health, dental and vision benefits for employees and dependents
  • Flexible working hours and flexible paid time off
  • Parental leave
  • Reimbursement for conferences, training and education
  • Workstation setup support and office visit opportunities

Ideal candidate

Open-source enthusiast with a public track record of collaboration on GitHub who loves making complex technology accessible. You thrive in async, community-driven work and want to grow one of the fastest-growing ML ecosystems.

Requirements

  • Strong Python skills, with experience writing clean, well-tested, maintainable library code
  • Deep hands-on experience with a modern deep-learning framework, especially PyTorch
  • Practical experience with the Hugging Face open-source stack or comparable ML libraries
  • Public track record of open-source contributions reviewable on GitHub
  • Solid understanding of modern machine learning and deep learning, including transformer architectures
  • Experience collaborating with a technical community in the open
  • Fluent written English for asynchronous collaboration
remote policy
Remote within the US
hiring process
Submit a cover letter on why you want to work in open-source at Hugging Face and start first application answer with GPU-poor and proud.

Lab profile

About Hugging Face

Open platform democratizing AI with shared models, datasets, and apps for builders

What they build

  • Model Hub with 4M+ models
  • Dataset Hub with 1M+ datasets
  • 1.5M Gradio apps

Known for

  • Fastest-growing platform for AI builders
  • 11M+ user community
  • 700k+ GitHub stars
  • Open-source mission to democratize good AI

Key facts

  • 11M+ platform users
  • 4M+ models, 1M+ datasets, 1.5M apps shared
More about Hugging Face →
Apply on the lab’s site ↗