ML Engineer Internship, Open Benchmarks for AI Hardware - EMEA Remote

Here at Hugging Face, we are on a mission to push forward the field of Machine Learning and make it more accessible. As part of this journey, we contribute toward the advancement of technology for the betterment of society.

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 utilizing HF technology in their production, including top-tier AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.

About the Role

Positioned at the crossover of AI model training and inferencing on cutting-edge hardware dedicated to AI tasks, this internship seeks to establish benchmarking methods to compare the performance of different transformer-based models on various task when operated on such up-and-coming benchmarks. The benchmarking results will be shared with the community to promote understanding of the innate advantages of each hardware in different settings.

About You

If you are passionate about open-source, enjoy making complex technology more accessible to engineers and artists, and are keen 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 criteria above, we still encourage you to apply! We're assembling a diverse team with complementary skills, experiences, and backgrounds. We're open to considering where you might be able to make the biggest impact.

More about Hugging Face

We are purposefully working towards creating a culture that values diversity, equity, and inclusivity. We are striving to create a work environment where people feel cherished and supported—regardless of identity or origin. We believe this is the grounded in establishing an excellent 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 progress. You will be collaborating with some of the most intelligent minds in our sector. As an organization, our bias is toward action and constant growth. We provide all our employees with reimbursement for relevant conferences, training, and education.

We care about your well-being. We offer flexible work hours and remote options. We support our employees no matter where they are. While we have offices worldwide, particularly in the US, Canada, and Europe, we have a strong remote workforce and all remote employees are given the opportunity to visit our offices. If necessary, we'll also equip your workstation to ensure your success.

We support the community. We firmly believe that major scientific advancements come from collaboration across the field. Join us and become a part of a community that supports the ML/AI community.