Internship for Machine Learning Engineer at BigCode - Remote in EMEA

Here at Hugging Face, we're embarked on a mission to improve and democratize Machine Learning. Throughout our journey, we strive to contribute to the advancement of technology for the better.

We have created the fastest-expanding, open-source, collection of pre-trained models worldwide. With more than 500K+ models and over 250K+ stars on GitHub, over 15,000 companies employ our technology in production, comprising leading AI entities such as Google, Elastic, Salesforce, Algolia, and Grammarly.

About the Role

Hugging Face frequently undertakes extensive training collaborations with external squads and academic research teams. You will be part of the small team responsible for the next extensive collaboration. You should relish community management, distributed team coordination, and juggling various (to varying degrees exciting) tasks in a highly flexible project, all in the service of training an exceptional model for the community.

About You

If you are passionate about open-source, enthusiastic about simplifying intricate technology for engineers and artists, and yearn to contribute to one of the rapidly expanding ML ecosystems, then we're excited to see your application!

If you're keen on joining us, but do not fulfill every requirement above, we still stimulate you to apply! We're assembling a diverse team whose skills, experiences, and backgrounds complement each other. We're willing to consider where you might bring the most significant influence.

More about Hugging Face

We actively endeavor to foster a culture that values diversity, equity, and inclusivity. We deliberately establish a workplace where individuals feel recognized and supported—regardless of who they are or where they originate. Our belief is that this is fundamental to constructing a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on grounds of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We champion growth. You will collaborate with some of the most intelligent people in our sector. We are an organization that possesses a prejudice for impact and perpetually challenges ourselves to grow. We provide all employees with reimbursement for pertinent conferences, training, and education.

We are concerned about your welfare. We offer flexible working hours and remote options. We support our employees no matter where they are. Even though we have office spaces around the world, particularly in the US, Canada, and Europe, we're very distributed and all remote employees have the opportunity to visit our offices. If necessary, we'll also equip your workstation to ensure your success.

We back the community. We believe substantial scientific advancements are the result of collaboration across the field. Join a community that supports the ML/AI community.