- Publish technical blog posts.
- Contribute documentation and code examples.
- Speak to business and technical audiences at partner conferences.
- Produce and run webinars.
- Build and show off demos.
- Lead go-to-market conversations with strategic partners.
Hugging Face allows users to build, train, and deploy art models using the reference open source in machine learning.
Hugging Face is democratizing machine learning, making cutting-edge AI accessible to everyone. You can build, train, and deploy advanced AI models with our open-source tools and platforms. Over 50,000 organizations, including industry giants like Google and Salesforce, use our technology in production. We are building the fastest growing platform for AI builders, with millions of users sharing models, datasets, and applications.
We foster an open-source spirit, encouraging collaboration and continuous learning. You will work with smart, ambitious people who value impact. We believe in building a diverse, equitable, and inclusive workplace. Everyone should feel respected and supported, regardless of background.
Engineers at Hugging Face build the foundational tools that empower the AI community. You will solve challenges in large-scale data infrastructure and machine learning deployment. Our technical stack includes Python, data libraries like pandas and PyArrow, and storage systems such as Parquet and S3. We collaborate with major cloud providers and AI accelerator companies, ensuring our tools run efficiently on diverse compute platforms. Your work will shape the future of open data workflows and practical AI applications.