Machine Learning Engineer Internship, Biomedical - US Remote
On-site
Job Description
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.
Responsibilities
The intersection of biology, health, and artificial intelligence is exploding, and more and more of our community are using the Hugging Face ecosystem to train, evaluate, and share biomedical models, datasets, and demos.
In this internship, you’ll enable the development of the next generation of biomedical AI models through making our tools more accessible to the biomedical community. This could include integrations with biomedical data providers and improved support for biomedical data types, building demos for state-of-the-art biomedical models, or creating new visualizations for biomedical datasets within Spaces and Gradio.
Job Requirements
If you love open-source, are passionate about making biomedical AI more accessible to engineers, researchers, and the broader biomedical community, and want to contribute to one of the fastest-growing ML ecosystems, then we can wait to see your application!
If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another. We're happy to consider where you might be able to make the biggest impact.
