Internship for Machine Learning Engineer in Audio - Remote in EMEA

Here at Hugging Face, we're on a mission to advance and democratize Machine Learning. Along the way, we aim to improve technology for the benefit of all.

We've created the fastest-growing, open-source collection of pre-trained models globally. With over half a million models and more than 250,000 stars on GitHub, over 15,000 companies are using HF technology in production, among them leading AI organizations like Google, Elastic, Salesforce, Algolia, and Grammarly.

About the Role

Open-source audio is flourishing, with exciting progress in speech recognition, text-to-speech, and music generation.

In this internship, you'll help bring cutting-edge audio technology to the open-source community. You'll work with existing open-source libraries such as Transformers and Datasets to enhance support for new and existing audio models. This will involve adding new state-of-the-art models to the library and conducting research to fine-tune them.

You'll work with leading researchers in the field every day, exploring ways to make these models more accessible to the wider ML community.

About You

If you're an open-source enthusiast, passionate about making complex technology more accessible to engineers and artists, and keen to contribute to one of the fastest-growing ML ecosystems, we look forward to your application!

Even if you don't meet all the criteria above, we still encourage you to apply! We're building a diverse team where skills, experiences, and backgrounds complement each other. We're happy to consider where you might bring the most value.

More about Hugging Face

We're actively cultivating a culture that champions diversity, equity, and inclusivity. We're committed to creating a workplace where everyone feels respected and supported, irrespective of who you are or where you're from. We believe this is the foundation of a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Learning and development is something we value. You'll work with some of the brightest minds in the industry. We're an organization that espouses an action-oriented approach and we consistently challenge ourselves to keep growing. We offer our employees reimbursement for relevant conferences, training, and education.

We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. Though we have offices around the world, primarily in the US, Canada, and Europe, we're essentially remote and all remote employees have the chance to visit our offices. If need be, we'll also equip your workspace to ensure you can thrive.

We support the community. We believe that significant scientific advancements stem from collaboration across the field. Join a community that's supporting the ML/AI community.