Description:

Hugging Face is seeking a Machine Learning Research Engineer Intern for a remote position in the US.
The role focuses on developing agentic systems that connect large language models (LLMs) to external environments, enabling them to perform actions and observations.
Interns will work on agents that can take screen recordings from any graphical user interface (GUI) and interact through mouse and keyboard setups.
Responsibilities include improving the agent framework, preparing fine-tuning datasets, creating training recipes, and managing inference orchestration.
Interns will utilize Hugging Face's CPU and H100 clusters for large-scale processing and model training.
The internship will culminate in releasing code and models to benefit the community.
Hugging Face promotes a culture of diversity, equity, and inclusivity, and encourages applications from individuals with varied backgrounds.

Requirements:

Applicants must submit a cover letter explaining their interest in working in open-source at Hugging Face.
The cover letter should highlight relevant skills, potential expertise, and specific topics of interest for the internship.
A passion for making complex technology accessible to engineers and artists is essential.
Candidates should be enthusiastic about contributing to a rapidly growing machine learning ecosystem.

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 located in the US, Canada, and Europe.
Hugging Face is committed to supporting the ML/AI community through collaboration and shared advancements.