Internship for Machine Learning Engineer, Document AI - Remote in the U.S.

Here at Hugging Face, we're on a journey to promote quality Machine Learning and make it more accessible. On our journey, we contribute to the advancement of technology for the better.

We've constructed the world's fastest-growing, open-source library of pre-trained models. Boasting more than 500K+ models and 250K+ stars on GitHub, over 15,000 companies are using Hugging Face technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.

About the Role

You'll work alongside open-source experts on machine learning as applied to computer vision and document AI. This could lead to a variety of directions: developing and integrating research ideas, advancing the field with benchmarks, leaderboards, implementations, and evaluations.

About You

If you're passionate about open-source, are eager to make complex technology more accessible to engineers and artists, and want to contribute to one of the fastest-growing Machine Learning ecosystems, then we can't wait to see your application!

If you're interested in joining us but don't meet every requirement, we still encourage you to apply! We're assembling a diverse team whose skills, experiences, and backgrounds complement each other. We're open to considering how you can make the biggest impact.

More about Hugging Face

We're actively fostering a culture that values diversity, equity, and inclusivity. We're purposefully building a workplace where everyone feels respected and supported - regardless of who they are or where they come from. We deem this foundational to building a great company and community. Hugging Face is an equal opportunity employer and we don't discriminate on the grounds of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We prioritize personal growth. You'll work with some of the smartest individuals in our industry. We're an organization that favors impact and constantly challenges itself to keep growing. We provide all employees with reimbursement for relevant conferences, training, and education.

We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are located. While we do have office spaces globally, particularly in the US, Canada, and Europe, we're highly distributed and all remote employees have the chance to visit our offices. If necessary, we'll also equip your workspace to ensure you excel.

We support the community. We believe major scientific advancements result from collaboration across the field. Join a community that supports the Machine Learning/AI community.