ML Research Engineer Internship

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.

About the Role

2025 will be the year of Agents.

LLM agents, what are these? In short, agentic systems are a way to connect an LLM to the outside world, to let it perform actions and observations. The promises of such a setup are immense : it enables an LLM to get external knowledge to ground its reasoning, use reliable tools for specific tasks, and even self-correct errors through additional iterations.

An agentic system requires a powerful enough LLM to reason and plan actions. Now with the progress of LLMs in general and specifically open models overtaking closed ones, we have all weapons to build great agents. So Hugging Face is launching a moonshot in that direction.

Building agents is both exciting and challenging as it lies at the intersection of post-training, inference, orchestration as well as UX design.

During this internship you will work specifically on agents that take screen recordings from any GUI, and act through a mouse/keyboard setup. You may have seen such models from other companies: we’ll make them better and open.

This work will include the whole agent stack, from improving the framework, to preparing fine-tuning datasets, training recipes, and inference orchestration. You will leverage our compute CPU and H100 clusters for large scale processing and model training. Finally we’ll release any code we built, as well as the model serving as a foundation for the community to build on.

Checkout hf.co/science for more information about the science team at Hugging Face.

About You

If you love open-source but also have an eye for art and creativity, are passionate about making complex technology more accessible to engineers and artists, and want to contribute to one of the fastest-growing ML ecosystems, then we can’t wait to see your application!

If you’re interested in joining us, but don’t tick every box above, we still encourage you to apply! We’re building a diverse team whose skills, experiences, and background complement one another. We’re happy to consider where you might be able to make the biggest impact.

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. 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. While we have office spaces around the world, especially in the US, Canada, and Europe, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed.

We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.