Description:

The Machine Learning Engineer Internship at Gradio is a full-time remote position within Hugging Face, aimed at democratizing AI.
Gradio is a widely used library for building and sharing machine learning demos, with over 6 million monthly downloads on PYPI.
The intern will work on a suite of AI tools to help users understand and write Gradio code, starting with the Playground, a code editor that generates or updates Gradio demos based on user queries.
The main objective is to expand the effort by leveraging approximately 500,000 Gradio spaces and thousands of user prompts to build a sophisticated model pipeline that understands Gradio's context.
The role emphasizes the importance of investing in tools that help users learn, build, and contribute to Gradio as its usage and developer community grows.

Requirements:

Candidates should have experience using modern deep learning libraries and LLM APIs, with an understanding of the tradeoffs between different models and APIs.
Knowledge of fine-tuning LLMs, creating retrieval-augmented generation pipelines, and using re-rankers for two-stage retrieval is required.
Comfort in exploring and contributing to a codebase that includes Python and Svelte-flavored JavaScript is essential.
A "product mindset" is necessary, with a passion for experimenting with different user interfaces to create useful products for a large user base.
Applicants are encouraged to submit a cover letter explaining their interest in open-source work at Hugging Face, detailing their skills, potential expertise, and topics of interest.

Hugging Face promotes a culture of diversity, equity, and inclusivity, ensuring a respectful and supportive workplace for all employees.
The company values development and offers reimbursement for relevant conferences, training, and education to foster continuous growth.
Flexible working hours and remote options are provided, with support for employees regardless of their location.
Remote employees have the opportunity to visit office spaces around the world, and the company will outfit workstations to ensure success.
Hugging Face supports the ML/AI community, emphasizing collaboration for significant scientific advancements.