Passionate about open-source accessibility and contributing to a growing ML ecosystem, candidates must have diverse skills and experiences to make a big impact at Hugging Face.

The Machine Learning Engineer Internship at Hugging Face involves working on cutting-edge research and development projects focused on computer vision and document AI, including implementing research ideas, creating benchmarks, and evaluating models.

Data

Medium

Technology

Hugging Face

<ul><li>Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.</li><li>We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.</li></ul>

Bachelors

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.

Machine Learning Engineer Internship, Document AI - US Remote

Requirements

Responsibilities

Hugging Face

Mission & Purpose