Machine Learning Engineer for Audio - US Remote

Hugging Face, a leading AI platform with over 5 million users and 100k+ organizations, is seeking a Machine Learning Engineer specializing in Audio technologies. This role focuses on democratizing cutting-edge speech-to-text and text-to-speech technologies for the open-source community. You'll work with popular libraries like Transformers, enhancing support for speech-related features and leading the development of new open-source ML audio libraries.

The position offers a unique opportunity to work at the intersection of machine learning and audio technology while engaging with a vibrant community of researchers and practitioners. You'll be part of a company that values diversity, equity, and inclusivity, offering comprehensive benefits including health coverage, flexible work arrangements, and company equity.

The ideal candidate should be passionate about open-source development and audio technologies. While industry experience in speech recognition or related fields is beneficial, we welcome applications from those who might not check every box but bring complementary skills and perspectives.

Working at Hugging Face means joining a supportive, development-focused environment where you'll collaborate with industry experts, contribute to meaningful open-source projects, and help shape the future of AI technology. The company provides excellent benefits, including flexible working options, comprehensive healthcare, and opportunities for professional growth through conference and education reimbursement.