Senior Open-Source Python Engineer, ML Developer Tools - EMEA Remote
Hugging Face22 hours ago
Remote, EMEASenior
Responsibilities
- Design, develop, and maintain scalable, reliable, and easy-to-use features across the team's Python libraries.
- Architect complex Python projects and frameworks for machine learning developers.
- Define APIs, write demos and documentation, and drive adoption of early-stage libraries.
- Develop real-time streaming and networking capabilities for Gradio and related tools.
- Collaborate with open-source contributors through code reviews, discussions, and community support.
- Integrate modern frontend technologies into Python-based web applications.
- Contribute to the direction of developer tooling as engineering challenges and the ML landscape evolve.
Requirements
- 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.
- Track record of taking early-stage libraries or products from initial users to broad adoption.
- 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.
- Experience with real-time audio/video streaming or networking is preferred.
- Contributions to pipecat, LiveKit, FastAPI, or Starlette are preferred.
Benefits
- Remote work in the EMEA region with flexible working hours and opportunities for remote employees to visit offices in NYC and Paris.
- Health, dental, and vision benefits for employees and dependents.
- Parental leave and flexible paid time off.
- Reimbursement for relevant conferences, training, and education.
- Workstation outfitting when needed.
- Company equity for all employees.
- Inclusive, equal-opportunity workplace and support for the ML/AI community.
Tech Stack
Categories
About Hugging Face
Hugging Face builds an open platform and tools for machine learning developers to share, build, and deploy models, including the Hugging Face Hub, Transformers, and hosted inference services. Its business model combines open-source libraries with paid managed inference, enterprise hosting, and commercial partnerships. Founded in 2016 and privately held, the company serves a global developer community with millions of models, datasets, and apps hosted and reports over 11 million users.