Machine Learning Engineer Internship, Gradio - US Remote

About the position

Gradio is the most widely used library to build and share machine learning demos, with more than 6m monthly downloads on PYPI. It is maintained by the Gradio team within Hugging Face. We are currently working on a suite of AI tools to help users quickly understand and write Gradio code. The first is the Playground: a code editor on our website which can generate or update complete Gradio demos based on a user's query. The main objective for a Machine Learning Engineering intern will be to expand this effort. We can leverage ~500k Gradio spaces and thousands of existing prompts from users to build a sophisticated model pipeline with the proper context of how Gradio works. More and more developers are relying on LLMs for assistance in writing code, but these LLMs often do not have proper context on how Gradio works. Gradio has evolved from a library to an ecosystem for machine learning developers, with custom components contributed from our community, Python and JS clients, and Gradio Lite. To advance these efforts and as Gradio's usage and developer community grows, it's important to invest in tools that can help users learn, build and contribute to Gradio.

Requirements

• Experience using modern deep learning libraries and LLM APIs and understanding tradeoffs between different models and APIs.
• Knowledge of how to fine-tune LLMs, create retrieval-augmented generation pipelines, and use re-rankers for two-stage retrieval.
• You're comfortable exploring and contributing to a codebase consisting of Python and Svelte-flavored JavaScript.
• You have a 'product mindset' -- like experimenting with different user interfaces to build products that are useful to hundreds of thousands of users.

Benefits

• Flexible working hours and remote options.
• Reimbursement for relevant conferences, training, and education.
• Support for employees wherever they are, with opportunities to visit office spaces around the world.