Machine Learning Advocate Engineer Internship, Audio - US Remote

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 1 million models and 320K stars on GitHub, over 15000 companies, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly, and NASA, are using HF technology in production.

About the Role

With the rise of LLMs, we’re seeing a massive surge in Audio LMs and the community is using the Hugging Face ecosystem to train, evaluate, and share such models, datasets, and demos. In this internship, you’ll enable the development of the next generation of these Audio LMs by making open source tools more accessible to the community. This could include integrations with audio data providers (like Common Voice and GigaSpeech) and improved support for audio...