Description:

Hugging Face is seeking a Machine Learning Engineer Intern for Hardware Optimization, focused on democratizing AI and machine learning.
The intern will work with the ML Optimization team to develop and refine solutions for various hardware platforms, enhancing the Hugging Face ecosystem.
Key responsibilities include developing an online exporter tool for Hugging Face models, authoring comprehensive deployment guides, designing user flows for hardware integration, conducting inference experiments to optimize hardware selection, and advocating insights through community engagement.
The role offers an opportunity to make a significant impact on the AI landscape while collaborating with industry experts and hardware providers.
Hugging Face promotes a culture of diversity, equity, and inclusivity, ensuring a respectful and supportive workplace for all employees.

Requirements:

Candidates must provide 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 the candidate wishes to work on during the internship.

Hugging Face offers reimbursement for relevant conferences, training, and education to support employee development.
The company provides flexible working hours and remote work options, accommodating employees' needs.
Employees have the opportunity to visit office spaces located around the world, particularly in the US, Canada, and Europe.
Hugging Face is committed to supporting the ML/AI community through collaboration and shared advancements.