Hugging Face
Hugging Face is a collaborative platform for the machine learning community, focusing on models, datasets, and applications. It offers a wide range of tools and resources for creating, discovering, and sharing machine learning models and datasets. Hugging Face provides open-source ML tools, including frameworks for PyTorch, TensorFlow, and JAX, as well as advanced solutions for businesses through its enterprise offerings. The company hosts thousands of models, datasets, and applications, serving as a central hub for AI research and development.
machine learning • natural language processing • deep learning
Machine Learning Engineer Internship
January 10
🗽 New York – Remote
👨🎓 Internship
⚪️ Entry-level
🤖 Machine Learning Engineer
🚫👨🎓 No degree required
🦅 H1B Visa Sponsor
Hugging Face
Hugging Face is a collaborative platform for the machine learning community, focusing on models, datasets, and applications. It offers a wide range of tools and resources for creating, discovering, and sharing machine learning models and datasets. Hugging Face provides open-source ML tools, including frameworks for PyTorch, TensorFlow, and JAX, as well as advanced solutions for businesses through its enterprise offerings. The company hosts thousands of models, datasets, and applications, serving as a central hub for AI research and development.
machine learning • natural language processing • deep learning
📋 Description
• At Hugging Face, we’re on a journey to democratize good AI. • We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. • Our open-source libraries have more than 400k+ stars on Github. • 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. • Gradio has evolved from a library to an ecosystem for machine learning developers. • 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. • You’re passionate about open source and making advanced ML tools accessible. • You are someone who stays up to date with the latest machine learning trends and models. • You love experimenting and have a high bias for action and results. • Some of our requirements for this role.
🎯 Requirements
• Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. • We encourage you to mention your skills, potential expertise, and topics on which you would like to work.
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