Passionate ML engineer intern interested in open-source and making complex tech accessible. Must contribute to growing ML ecosystem and embrace diversity.

The ML Engineer Internship at Hugging Face will involve benchmarking and validating the performance of transformer-based models on emerging AI hardware. The intern will work on generating and sharing benchmarking results to benefit the community and enable efficient model training and inferencing.

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.

ML Engineer Internship, Open benchmarks of AI hardware - US Remote

Requirements

Responsibilities

Hugging Face

Mission & Purpose