Intern ML Research Engineer
Hugging Face is hiring a remote Intern ML Research Engineer. The career level for this job opening is Entry Level and is accepting USA based applicants remotely. Read complete job description before applying.
Hugging Face
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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.