ML Engineer Internship, Open benchmarks of AI Hardware - US Remote

Here at Hugging Face, we are on a mission to enhance Machine Learning and make it more accessible. As we navigate this journey, we are contributing to technology’s advancement for the better good.

We have developed the world's fastest-growing open-source library of pre-trained models. With more than 500K+ models and over 250K+ stars on GitHub, HF technology is being utilized in production by over 15,000 companies, including leading AI organizations like Google, Elastic, Salesforce, Algolia, and Grammarly.

About the Role

This internship is at the intersection of AI model training and inferencing on emerging hardware dedicated to AI workloads. The aim is to facilitate ground methods to benchmark and verify the performance of various transformer-based models on different tasks when operating on such emerging benchmarks. Benchmarking results will be shared with the community to promote the inherent benefit of each hardware for each different setup.

About You

If you're an open-source enthusiast, passionate about simplifying complex technology for engineers and artists, and eager to contribute to one of the fastest-growing ML ecosystems, we can’t wait to receive your application!

If you're interested in joining us but don't meet all the requirements, we still encourage you to apply! We're building a diverse team with complementary skills, experiences, and backgrounds. We're flexible in considering where you might make the most significant impact.

More about Hugging Face

We are committed to creating a culture that values diversity, equity, and inclusivity. We are aiming to build a workplace where people feel respected and supported - regardless of who you are or where you come from. We believe this is essential for creating a great 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 promote continuous growth as an organization, always challenging ourselves. We offer our employees reimbursement for relevant conferences, training, and education.

We care about your wellbeing. We provide flexible working hours and remote options. We support our employees wherever they are. While we maintain office spaces across the globe, especially in the US, Canada, and Europe, we're largely distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also set up your workstation to ensure your success.

We support the community. We believe that significant scientific advancements result from field-wide collaboration. Join a community that supports the ML/AI community.