Internship for Machine Learning Engineer, Document AI - Remote in EMEA

Here at Hugging Face, we're embarked on a journey to improve Machine Learning and make it more accessible. Along this path, we contribute towards the advancement of technology for the better.

We have created the fastest-growing open-source library of pre-trained models in the world. With over 500K+ models and 250K+ stars on GitHub, over 15,000 companies are utilizing HF technology in production, including leading AI organizations like Google, Elastic, Salesforce, Algolia, and Grammarly.

About the Role

You will join a team of open-source experts working on machine learning applied to computer vision and document AI. This encompasses various potential directions: developing and integrating research ideas and advancing the field with benchmarks, leaderboards, implementations, and evaluations.

About You

If you are passionate about open-source, eager to make sophisticated technology more accessible to engineers and artists, and wish to contribute to one of the fastest-growing ML ecosystems, we eagerly anticipate your application! If you wish to join us but don't match every criterion above, we still encourage you to apply. We're putting together a diverse team whose skills, experiences, and backgrounds complement one another. We are open to considering where you could make the most significant impact.

More about Hugging Face

We are actively working to create a culture that appreciates diversity, equity, and inclusivity. We intentionally aim to create a workspace where people feel respected and supported, regardless of their identity or background. We believe it's essential when building a great company and community. Hugging Face is an equal opportunity employer that does not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We prioritize growth. You will collaborate with some of the most intelligent individuals in our industry. We are an organization that leans toward impactful actions and continuously challenges ourselves to grow. We reimburse all employees for relevant conferences, training, and education.

We care about your wellbeing. We offer flexible working hours and remote options. We support our employees regardless of their location. While we have offices around the world, particularly in the US, Canada, and Europe, we are 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 significant scientific advancements result from collaboration across the field. You will be joining a community that supports the ML/AI community.