Remote Machine Learning Engineer Internship, Hardware Optimization - US Remote

Description:

• Hugging Face is seeking a Machine Learning Engineer Intern focused on Hardware Optimization, working remotely in the US.
• The role involves contributing to the ML Optimization team, which collaborates with top hardware innovators to ensure models run efficiently across various platforms.
• Intern responsibilities include developing an online exporter tool for Hugging Face models, authoring comprehensive deployment guides, designing user flows for transitioning to alternative hardware backends, conducting inference experiments to optimize hardware selection, and advocating insights through various communication channels.
• The intern will have the opportunity to make a significant impact on the AI landscape while collaborating with 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 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.

Benefits:

• Hugging Face offers reimbursement for relevant conferences, training, and education to support employee development.
• The company provides flexible working hours and remote work options, ensuring support for employees regardless of their location.
• Employees have the opportunity to visit office spaces around the world, and the company will outfit workstations to ensure success.
• Hugging Face fosters a collaborative community that supports advancements in the ML/AI field.