If you love open-source, are passionate about making complex technology more accessible to engineers and artists, and want to contribute to one of the fastest-growing ML ecosystems, then we can't 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.
Responsibilities
Open-source audio is thriving, with new advances in speech recognition, text-to-speech, and music generation.
In this internship, you will make cutting-edge audio technology more accessible to the open-source community by working in existing open-source libraries, such as Transformers and Datasets, to improve support for new and existing audio models. This includes adding new state-of-the-art models to the library and research efforts to fine-tune them.
You will collaborate with top researchers in the field daily, exploring ways to make these models more accessible to the broader ML community.