高级开源 Python 工程师，机器学习开发工具 (欧洲/中东/非洲)
Senior Open-Source Python Engineer, ML Developer Tools (EMEA)
在 Hugging Face，我们致力于让优质的 AI 更加普及。我们正在打造一个增长最快的 AI 开发者平台，拥有超过 1100 万用户，他们共同分享了超过 400 万个模型、100 万个数据集和 150 万个 Gradio 应用。我们的开源库在 GitHub 上获得了超过 70 万个星标。
**职位描述**
在 Hugging Face，职位非常灵活且动态——我们寻找的是能够适应不断变化的挑战的人。
你将加入 Applications 团队，该团队的目标是构建工具，帮助开发者在我们 Hub 提供的基础功能之上创建机器学习应用：[Gradio](https://www.gradio.dev)、[Spaces](https://huggingface.co/spaces)、Inference Providers、Datasets、Xet 等。具体来说，这意味着维护和扩展像 [Trackio](https://github.com/gradio-app/trackio) 这样的库，这是一个以本地优先、代理友好的实验跟踪平台，[FastRTC](https://github.com/gradio-app/fastrtc)，我们用于 Python 实时音视频流的库，以及 Gradio 本身，每月被超过 100 万名开发者使用。这些工具让机器学习对更广泛的受众变得可及——历史上首次，只要有互联网连接，任何人都可以直接从浏览器中使用最前沿的模型。
其中一些库仍处于早期阶段，新的库也将从零开始。这个职位的很大一部分是将一个项目从最初的用户发展到广泛采用：塑造 API，快速交付，并将其带到开发者手中。
主要职责包括：
- 设计、开发和维护团队库的核心功能，确保为 ML 开发者提供可扩展性、可靠性和易用性。
- 构建复杂的 Python 项目和框架，作为 ML 社区的基础工具。
- 推动早期库的发展：定义 API 表面，编写演示和文档，使其易于上手，并推动开发者社区的采用。
- 专注于实时流媒体和网络功能，这是 Gradio 7 及以后的核心优先事项。
- 与开源贡献者合作，并通过代码审查、讨论和支持参与更广泛的社区。
- 集成现代前端技术，为基于 Python 的 Web 应用程序创建无缝且直观的用户体验。
- 适应不断变化的工程挑战，并为我们的 d
查看英文原文
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.
You'll join the Applications team, whose goal is to build the tooling that helps developers create machine learning applications on top of the primitives we offer on the Hub: [Gradio](https://www.gradio.dev), [Spaces](https://huggingface.co/spaces), Inference Providers, Datasets, Xet, and more. Concretely, that means maintaining and growing libraries like [Trackio](https://github.com/gradio-app/trackio), a local-first, agent-friendly experiment tracking platform, [FastRTC](https://github.com/gradio-app/fastrtc), our library for real-time audio and video streaming in Python, and Gradio itself, used by more than 1 million developers each month. These tools have made machine learning accessible to a wide audience — for the first time in history, anyone with an internet connection can use cutting-edge models right from their browser.
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.
#### 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 some of the fastest-growing libraries in the ML ecosystem, 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
- 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](https://github.com/pipecat-ai/pipecat), [LiveKit](https://github.com/livekit/livekit), [FastAPI](https://github.com/fastapi), or [Starlette](https://github.com/Kludex/starlette)
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.
#### 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.