Hugging Face is hiring a ML Engineer Internship - Diffusion Distillation for Faster Sampling

Description

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.

We have built the fastest-growing, open-source library of pre-trained models in the world. With over 100M+ installs and 65K+ stars on GitHub, over 10 thousand companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.

About the Role

For this position, you will make cutting-edge diffusion model systems more accessible to the open-source community, focusing on image, audio, and video generation models.

The primary focus of this internship will be on improving the sampling speed of large diffusion models through distillation or by implementing new sampling techniques. You will work in existing open-source libraries, such as Diffusers, Transformers, and Accelerate, to rapidly add new, exciting features and boost the support for state-of-the-art vision, audio, and other modality diffusion models. We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful.

You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools you build. You'll interact with Researchers, ML practitioners, and data scientists daily through GitHub, our forums, or slack.

About you

If you love open-source, are passionate about making complex technology more accessible, and want to contribute to one of the fastest-growing ML ecosystems, then we can't wait to see your application!

If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another. We're happy to consider where you might be able to make the biggest impact.

Preferred Location

Ideally based in Paris but we are open to remote work for the right candidate.

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with 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 have office spaces around the world, especially in the US, Canada, and Europe, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.

We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.