Machine Learning Engineer for Audio - US Remote in New York

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.

About the Role

For this position, you will be making cutting edge speech-to-text and text-to-speech technologies more accessible to the open-source community.

You will work in existing open-source libraries, such as Transformers, boosting the support for robust speech-to-text, speaker diarization, text-to-speech and lead the creation of novel open-source libraries for ML in audio.

You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build. You'll interact with Researchers, ML practitioners and data scientists on a daily basis through GitHub, Discord, our...