Internship for Machine Learning Engineer, Generation - US Remote

Here at Hugging Face, we're embarked on a quest to further develop beneficial Machine Learning and make it more widely available. As we progress, we strive to make technological advancements for the greater good.

We've created the world's fastest-growing, open-source library of pre-trained models. Boasting over 500K+ models and 250K+ stars on GitHub, over 15,000 companies are leveraging our technology in their operations. This includes leading AI companies like Google, Elastic, Salesforce, Algolia, and Grammarly.

About the Role

This internship occupies the exciting space between software engineering and machine learning engineering. It entails bringing cutting-edge large language model (LLM) research and multimodal generative developments to transformers in a user-friendly way. By the end of the internship, you'll have explored every facet that powers the LLM APIs, from hardware acceleration and numerical precision issues to common machine learning conundrums and the necessity of writing scalable software.

About You

If you're a fan of open-source, have a passion for making complex tech more accessible to engineers and artists, and want to contribute to one of the fastest-expanding ML ecosystems, we're eager to see your application! Even if you don't meet all the criteria, we encourage you to apply. We're assembling a diverse team whose skills, experiences, and backgrounds mutually enhance each other. We're open to considering where you can make the most impact.

More about Hugging Face

We're actively fostering a culture that champions diversity, equity, and inclusion. Our aim is to create a workplace where everyone feels respected and supported, irrespective of who you are or where you come from. We view this as fundamental to building both a great company and community. Hugging Face is an equal opportunity employer and we don't discriminate on grounds of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We prioritize development. You'll be working alongside some of the brightest minds in our field, in an organization that leans towards impact and promotes continuous growth. All employees receive reimbursement for relevant conferences, training, and education.

We're mindful of your well-being. We offer flexible working hours and remote options, supporting our employees at all locations. While we have offices globally, particularly in the US, Canada, and Europe, we have a high number of distributed employees who are welcome to visit these offices. We also equip your workstation as necessary to ensure your success.

We're advocates for the community. We believe significant scientific advancements come from collaborations across the field. Join a community that backs the ML/AI community.