Internship for Machine Learning Engineer, Audio - Remote in the US

Here at Hugging Face, we're on a journey to enhance positive Machine Learning and make it more accessible. Along the path, we contribute to the advancement of technology for the better.

We've developed the fastest-growing open-source library of pre-trained models globally. With over 500K+ models and 250K+ stars on GitHub, more than 15,000 companies utilize HF technology in operation, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.

About the Role

Open-source audio is flourishing with new advancements in speech recognition, text-to-speech, and music creation.

In this internship, you'll help make state-of-the-art audio technology more accessible to the open-source community by supporting existing open-source libraries, such as Transformers and Datasets, and improving the support for new and existing audio models. This includes adding new state-of-the-art models to the library and conducting research efforts to fine-tune them.

Every day, you'll collaborate with top researchers in the field, exploring ways to make these models more accessible to the broader ML community.

About You

If you're passionate about open-source technology, are eager to make complex technology more accessible to engineers and artists, and want to contribute to one of the most rapidly growing ML ecosystems, we can't wait to receive your application!

If you're interested in joining us but don't meet every requirement listed above, we still encourage you to apply! We're constructing a diverse team with skills, experiences, and backgrounds that complement each other. We're open to considering where you can make the greatest impact.

More about Hugging Face

We're actively striving to develop a culture that values diversity, equity, and inclusivity. We're deliberately fostering a workplace where everyone feels respected and supported—regardless of who you are or where you come from. We believe this is fundamental to creating a great company and community. Hugging Face is an equal opportunity employer that doesn't discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We prioritize growth. You'll work with some of the most intelligent individuals in our industry. We're an organization that values impact and is perpetually challenging ourselves to continuously develop. We offer all of our employees reimbursement for relevant conferences, training, and education.

We're concerned about your well-being. We provide flexible working hours and remote options. We support our employees wherever they are. While we have office locations around the world, particularly in the US, Canada, and Europe, we're highly distributed, and all remote employees have the chance to visit our offices. If necessary, we'll also equip your workstation to ensure your success.

We advocate for the community. We believe significant scientific advancements arise from collaboration across the field. Join a community that supports the ML/AI community.