Applied Research Internship - Robustness

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

The goal of this internship is to build a toolkit for robustness that can be used by a large user base of HF. Currently, we don’t have any tools for identifying and quantifying robustness in the HF ecosystem. You could focus on some of these or suggest more.

• Distribution shift in data
• Long-tailed distribution
• OOD detection
• Actionable ways to patch models (a la MEND) https://arxiv.org/abs/2110.11309

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, we can't wait to see your application!

Some of our requirements for this role:

• Working towards an MS or PhD degree in Computer Science or relevant field.
• Experience with PyTorch or any other major deep learning framework of choice.
• Experience with a domain(s) related to embodied learning: robotics, reinforcement learning, synthetic data generation, or another related field.
• Problem solving and good communication skills.
• Some experience with the Hugging Face tools and ecosystem.

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

Fully Remote

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 significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.