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

Here at Hugging Face, we’re on a mission to advance quality Machine Learning and make it more accessible. In our journey, we contribute to the augmentation of technology for the better.

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

About the Role

"Unveiling the Potential of Tokenizer-Less Methods: A Thorough Investigation into Core Maintenance of the Transformers Library". This internship is aimed at gaining practical experience of the core maintenance in the Transformers library, with some research focused on exploring tokenizer-less/standardization methods and their potential addition to `transformers`.

Examples include , improvements on Canine, , , and so on.

About You

If you are passionate about open-source technology, are dedicated towards making complex technology more accessible to engineers and artists, and are ready to contribute to one of the fastest-growing ML ecosystems, then we are eager to see your application!

If you're interested in joining us, but don't meet all the criteria above, we still encourage you to apply! We are building a diverse team whose skills, experiences, and backgrounds complement one another. We are excited to consider where you could potentially make the greatest impact.

More about Hugging Face

We are devotedly working to build a culture that values diversity, equity, and inclusivity. We are intentionally creating a workplace where individuals feel respected and supported—regardless of who you are or where you come from. We believe this is critical in 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 promote growth. You will collaborate with some of the smartest individuals in our sector. We are an organization with a preference for impact and an unremitting drive for consistent growth. We reimburse all employees for relevant conferences, training, and education.

We prioritize your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. Although we have office spaces worldwide, mainly in the US, Canada, and Europe, we're primarily remote and all remote employees have the chance to visit our offices. If necessary, we'll also equip your workstation to ensure your success.

We support the community. We believe significant scientific advancements are a result of collaboration across the field. Join a community that supports the ML/AI community.