Senior Python Software Engineer, ML Developer Tools - US Remote

GenBio AI

$120K — $160K *
US-AnywhereRemote in United States
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent in Computer Science or a related field
  • 5+ years of professional Python development experience
  • Experience architecting complex Python projects or frameworks
  • Professional experience with JavaScript or TypeScript
  • Professional experience with a modern frontend framework such as React or Svelte
  • Experience contributing to or maintaining open-source software projects

Responsibilities

  • Design core features for Gradio and Trackio focusing on scalability and ease of use
  • Architect complex Python projects as foundational tools for the ML community
  • Collaborate with open-source contributors and engage with the community
  • Integrate modern frontend technologies to enhance user experiences
  • Adapt to evolving challenges and contribute to the development of tools

Benefits

  • Opportunity to work on impactful open-source projects
  • Collaborative and diverse team environment
  • Support for personal and professional growth
  • Access to Hugging Face's fast-growing machine learning community
  • Encouragement for applications from those who may not meet every qualification
Full Job Description
About the Role

Roles at Hugging Face are very fluid and dynamic -- we are looking for someone who is comfortable taking on different challenges that will evolve over time. In the short term, the focus of this role is to help develop Gradio (www.gradio.dev), a Python framework that lets users build machine learning web apps, and Trackio, a local-first, agent-friendly experiment tracking platform (https://github.com/gradio-app/trackio). Gradio and Trackio are used by more than 1 million developers each month, locally and to launch apps on Hugging Face Spaces. These apps have allowed machine learning to be accessible to a wide audience -- for the first time in history, anyone with an internet connection can use cutting-edge machine learning models right from their browser.

Key responsibilities include:
  • Designing, developing, and maintaining core features for Gradio and Trackio, ensuring scalability, reliability, and ease of use for ML developers.
  • Architecting complex Python projects and frameworks that serve as foundational tools for the ML community.
  • Collaborating with open-source contributors and engaging with the broader community through code reviews, discussions, and support.
  • Integrating modern frontend technologies to create seamless and intuitive user experiences for Python-based web applications.
  • Adapting to evolving engineering challenges and contributing to the direction of our developer tools as the landscape changes.

Requirements
About You

If you love open-source, are passionate about making machine learning more accessible, have experience building Python frameworks, and want to contribute to one of the fastest-growing machine learning libraries, then we can't wait to see your application!
What you'll need
  • Bachelor's degree or equivalent in Computer Science or a related field
  • 5+ years of professional Python development experience
  • Experience architecting complex Python projects or frameworks
  • Professional experience with JavaScript or TypeScript
  • Professional experience with a modern frontend framework such as React or Svelte
  • Experience contributing to or maintaining open-source software projects


If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact.

One more thing

At Hugging Face we believe great AI shouldn't require a massive cluster, we build for everyone, especially the GPU-poor. And because we read every application, here's a small sign that you read this one too: start your answer to the first application question with the words "GPU-poor and proud ". No trick, no catch, it just tells us a real person is on the other side.

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