Internship for Machine Learning Engineer, Computer Vision - Remote in EMEA

Here at Hugging Face, we're on a journey to advance positive Machine Learning and make it more accessible. Along the way, we contribute to the betterment of technology.

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

About the Role

This internship operates at the intersection of vision, multimodal models, and software engineering. It concentrates on implementing cutting-edge research to ensure its availability and relevance to the global open-source community. In this role, the candidate will work closely with ML engineers across the company to add models, tools, and datasets, and also research ways to make these more accessible and useful to the community. Come join us and help democratize ML!

About You

If you have a passion for open-source, have a heart for making complex technology more accessible to engineers and artists, and want to contribute to one of the fastest-growing ML ecosystems, we can't wait to see your application!

If you're interested in joining us, but don't check every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement each other. We're keen to consider where you might be able to make the biggest impact.

More about Hugging Face

We're proactively working to cultivate a culture that values diversity, equity, and inclusivity. We're intentionally constructing a work environment where people feel respected and supported, regardless of who you are or where you come from. We believe this is fundamental to building an outstanding 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 growth. You will work with some of the most intelligent people in our industry. As an organization leaned towards impact, we're always challenging ourselves to consistently develop. We provide all 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 wherever they are. While we have office spaces around the world, particularly in the US, Canada, and Europe, we're very distributed and all remote employees have the chance to visit our offices. If required, we'll also outfit your workstation to ensure your success.

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