Description:

Hugging Face is seeking an ML Research Engineer Intern for the OS Agents team, with a focus on developing agentic systems that connect LLMs to the outside world.
The internship will involve working on agents that can take screen recordings from any GUI and perform actions through a mouse/keyboard setup.
Interns will improve the entire agent stack, including the framework, fine-tuning datasets, training recipes, and inference orchestration.
The role will leverage Hugging Face's compute CPU and H100 clusters for large-scale processing and model training.
All code and models developed during the internship will be released to the community as a foundation for further development.
Hugging Face values diversity, equity, and inclusivity, and encourages applications from individuals with diverse backgrounds and experiences.

Requirements:

Applicants must provide a cover letter explaining their interest in working in open-source at Hugging Face.
The cover letter should include details about the applicant's skills, potential expertise, and topics of interest for the internship.
A passion for making complex technology accessible to engineers and artists is essential.
Candidates should have an appreciation for open-source and creativity.

Hugging Face offers reimbursement for relevant conferences, training, and education to support employee development.
The company provides flexible working hours and remote work options to accommodate employee well-being.
Employees have the opportunity to visit office spaces around the world, particularly in the US, Canada, and Europe.
Hugging Face is committed to building a supportive workplace culture where all employees feel respected and valued.