Machine Learning Engineer Internship, Gradio - US Remote

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Requirements:

• Experience using modern deep learning libraries and LLM APIs with knowledge of model tradeoffs.
• Ability to fine-tune LLMs, create retrieval-augmented generation pipelines, and implement re-rankers for two-stage retrieval.
• Comfort with contributing to a codebase in Python and Svelte-flavored JavaScript.
• Possess a product mindset, engaging in experimentation with user interface designs to aid a large user base.

Responsibilities:

• Expand the effort to develop a suite of AI tools that assist users in understanding and writing Gradio code.
• Utilize approximately 500k Gradio spaces and existing user prompts to create a sophisticated model pipeline.
• Focus on aiding developers who depend on LLMs for coding assistance, ensuring these LLMs understand the context of Gradio.