Machine Learning Engineer Internship - Hardware Optimization

December 9

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Hugging Face

WebsiteLinkedInAll Job Openings

machine learning • natural language processing • deep learning

51 - 200 employees

Founded 2016

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

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. • At Hugging Face, we’re leading the AI revolution with a mission to democratize machine learning. • Through our open-source libraries, state-of-the-art models, and curated datasets, we empower developers and researchers to build cutting-edge AI solutions. • Our ML Optimization team partners with some of the world’s top hardware innovators. • Your contributions will involve developing and refining solutions for hardware platforms and sharing these advancements with the Hugging Face community. • Develop an online exporter tool to convert Hugging Face models for specific hardware platforms. • Author comprehensive guides to help users deploy Hugging Face models on various hardware platforms. • Develop a seamless flow to guide users from traditional Hugging Face libraries to alternative hardware backends. • Conduct inference experiments across different hardware backends and provide guidelines on hardware selection. • Collaborate with the Hugging Face Advocacy team to share your findings and insights.

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.