Internship for Machine Learning Engineer, Tokenizers & Maintenance - US Remote

Here at Hugging Face, we're on a mission to advance machine learning and make it more accessible. Along this journey, we're contributing to the progress of technology for the better.

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

About the role

"Unleashing the Power of Tokenizer-Less Methods: A Deep Dive into Core Maintenance of the Transformers Library". This internship aims to provide hands-on experience in the core maintenance of the Transformers library, with some research focusing on exploring tokenizer-less/standardization methods and their potential inclusion in `transformers`.

Examples include invictus717/MetaTransformer, improvements on Canine, MegaByte, CharBert, and so on.

About You

If you're passionate about open-source, eager to make complex technology more accessible to engineers and artists, and would like to contribute to one of the fastest-growing ML ecosystems, we can't wait to see your application!

If you're interested in joining us but don't meet all the requirements, we encourage you to apply anyway! We're building a diverse team where the skills, experiences, and backgrounds of all the members complement each other. We're open to considering where you might be able to make the biggest impact.

More about Hugging Face

We're actively striving to create a culture that values diversity, equity, and inclusivity. We're committed to building a workplace where everyone feels respected and supported, regardless of who they are or where they come from. We see this as essential to building a successful 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.

We value growth. You'll be working with some of the brightest minds in our industry. We're an organization that tends towards impact and we're continually challenging ourselves to grow. We offer all 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. While we do have office spaces around the world, especially in the US, Canada, and Europe, we're largely distributed and afford our remote employees the opportunity to visit our offices. If required, we'll also equip your workstation to ensure your success.

We support the community. We believe significant scientific advancements come from collaboration across the field. Join a community that supports the ML/AI community.