Machine Learning Engineer Internship, Gradio

Hugging Face, the leading platform for AI builders with over 5 million users and 100k organizations, is seeking a Machine Learning Engineer Intern for their Gradio team. Gradio, their most widely used library for building and sharing ML demos, boasts 6m+ monthly downloads on PYPI.

The role focuses on expanding AI tools that help users understand and write Gradio code, particularly the Playground code editor. You'll work with a vast dataset of ~500k Gradio spaces and thousands of user prompts to develop sophisticated model pipelines. This position is crucial as Gradio evolves from a library to an ecosystem for ML developers, incorporating community-contributed components, Python and JS clients, and Gradio Lite.

The ideal candidate combines technical expertise in modern deep learning, LLMs, and programming with a product-focused mindset. You'll need experience with fine-tuning LLMs, creating retrieval-augmented generation pipelines, and working with Python and Svelte-JavaScript. Your work will directly impact hundreds of thousands of users while contributing to the democratization of good AI.

Hugging Face offers a supportive, diverse environment with opportunities for professional growth. Benefits include flexible remote work, educational reimbursement, and access to some of the industry's brightest minds. You'll join a community-focused organization that values scientific advancement through collaboration, making this an excellent opportunity for those passionate about open-source and accessible ML tools.