Senior Open-Source Python Engineer, ML Developer Tools - US Remote

Hugging Face; United States; On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Remote options

Equity in company

Conference & education reimbursement

Health, dental, and vision benefits

Job summary

Hugging Face is seeking a role that will shape API design, shipping fast, and delivering to developers. You will design, build, and maintain core features across libraries used by ML developers, and grow early-stage projects from first users to broad adoption.

You will architect advanced Python projects, contribute to frontend layers with modern frameworks, and collaborate with open-source contributors to drive community engagement and adoption.

Qualifications

• 5+ years of professional Python development experience.
• Experience architecting complex Python projects or frameworks.
• Track record of taking early-stage libraries to broad adoption.
• Professional experience with JavaScript or TypeScript.
• Experience with React or Svelte frontend frameworks.
• Experience core-contributing to open-source projects.

Responsibilities

• Design, develop, and maintain core features across libraries for ML developers.
• Architect complex Python projects and frameworks for scalability.
• Grow early-stage libraries: define API, create demos, write docs, drive adoption.
• Work on real-time streaming and networking capabilities for Gradio 7 and beyond.
• Collaborate with open-source contributors and engage with the community.

Skills

Python development

Architecting Python projects

Frontend development (React/Svelte)

Open-source contribution

JavaScript/TypeScript

Education

Bachelor's degree in Computer Science

Tools

Git

Web technologies

Job description

At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 4 million models, 1 million datasets & 1.5 million Gradio apps. Our open-source libraries have more than 700,000 stars on Github.

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.

Several of these libraries are still early in their life, and new ones will start from scratch. A large part of this role is taking a project from its first users to widespread adoption: shaping the API, shipping fast, and getting it into developers' hands.

Key responsibilities include:

• Designing, developing, and maintaining core features across the team's libraries, 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
• Growing early-stage libraries: defining the API surface, writing the demos and documentation that make them click, and driving adoption in the developer community
• Working on real-time streaming and networking capabilities, a core priority for Gradio 7 and beyond
• 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

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
• A track record of taking early-stage libraries or products from first users to broad adoption
• Professional experience with JavaScript or TypeScript
• Professional experience with a modern frontend framework such as React or Svelte
• Experience core-contributing to or maintaining open-source software projects

Nice to have

• Experience with real-time audio/video streaming or networking (WebRTC, WebSockets)
• Contributions to libraries such as pipecat, LiveKit, FastAPI, or Starlette

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.

Benefits

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.

We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off.

We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.

We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.

We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.