Internship as a Machine Learning Engineer at BigCode - Remote in the US

Here at Hugging Face, we’re on a journey to enhance and democratize Machine Learning. On this journey, we strive to contribute to the improvement of technology.

We have created the fastest growing, open-source library of pre-trained models globally. Boasting over 500K+ models and 250K+ stars on GitHub, our HF technology is utilized in production by over 15,000 companies. This includes leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.

About the Role

Hugging Face regularly collaborates on large-scale training projects with external teams and academic research groups. You will join a compact team in charge of the next large-scale collaboration. You should have a knack for community management, coordination of distributed teams, and taking on diverse tasks in a flexible project environment, all with the aim of training an exceptional model for the community.

About You

If you are passionate about open-source, are enthusiastic about simplifying complex technology for engineers and artists, and are eager to contribute to one of the fastest-growing ML ecosystems, we eagerly await your application!

If you're interested in joining us but don't fulfill every listed requirement, we still encourage you to apply! We are building a diverse team in which the skills, experiences, and backgrounds of all members complement each other. We are open to exploring where you might have the greatest potential impact.

More about Hugging Face

We are actively working towards building a culture that embraces diversity, equity, and inclusivity. We consciously cultivate a workplace where everyone feels respected and supported, regardless of their identity or origin. We firmly believe in this as a basis for building a robust company and community. Hugging Face is an equal opportunity employer and does not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We value growth. You will be working with some of the brightest minds in our field. We are a growth-oriented organization, always pushing ourselves to grow continuously. We reimburse all employees for relevant conferences, training, and education.

We care about your well-being. We provide flexible working hours and remote work options. We support our employees wherever they are. We have offices worldwide, particularly in the US, Canada, and Europe, and all remote employees have the opportunity to visit our offices. If necessary, we also equip your workstation to ensure your success.

We support the community. We believe substantial scientific advancements result from collaborations across the field. Join a community that supports the ML/AI community.