Ml Research Engineer Intern
Hugging Face
πRemote - United States
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Job highlights
Summary
Join Hugging Face, a leading platform for AI builders, as an intern to contribute to the development of LLM agents. This internship focuses on agents that interact with GUIs via screen recordings and mouse/keyboard actions. You will work on the entire agent stack, from framework improvements to dataset preparation, training, and inference orchestration. You'll leverage our powerful compute resources and contribute to open-source projects. This role is ideal for those passionate about open-source, accessibility, and contributing to a rapidly growing ML ecosystem. Hugging Face values diversity and offers various benefits, including flexible working hours and remote options.
Requirements
- Passion for open-source and making complex technology accessible
- Desire to contribute to a fast-growing ML ecosystem
- Provide a cover letter mentioning why you would like to work in open-source at Hugging Face
Responsibilities
- Improve the agent framework
- Prepare fine-tuning datasets
- Develop training recipes
- Orchestrate inference
- Leverage CPU and H100 clusters for large-scale processing and model training
- Release code and model serving as a foundation for the community
Preferred Qualifications
Love for open-source combined with an eye for art and creativity
Benefits
- Reimbursement for relevant conferences, training, and education
- Flexible working hours
- Remote options
- Opportunity to visit offices (if desired)
- Workstation outfitting (if needed)
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