Remote Machine Learning Advocate Engineer Internship, Audio - US Remote

Description:

• Hugging Face is seeking a Machine Learning Advocate Engineer Intern to contribute to the development of technology and advance Machine Learning accessibility.
• The role involves enabling the development of Audio Language Models (LMs) by making open-source tools more accessible to the community.
• Responsibilities include integrating with audio data providers, improving support for audio data types, building demos for audio/voice models, and creating new leaderboards for evaluations.
• This is a technical position focused on developer advocacy, fostering collaborations, leading communications, and building tools for the ML for Audio Space.
• The position does not involve marketing and requires a generalist mindset to contribute to libraries like Transformers, Diffusers, or Datasets.

Requirements:

• Passion for open-source and making Audio LMs more accessible to engineers, researchers, and the audio community.
• Ability to contribute to the development of Audio LMs and collaborate with groups in the ML for Audio Space.
• Strong technical skills and a generalist mindset to work on open-source tools and libraries.
• Interest in fostering collaborations, leading communications, and adopting the latest Audio-related features.
• Willingness to work in a diverse, equitable, and inclusive environment.

Benefits:

• Opportunity to work with smart individuals in the industry and grow continuously.
• Reimbursement for relevant conferences, training, and education.
• Flexible working hours and remote options.
• Health, dental, and vision benefits for employees and their dependents.
• Parental leave and flexible paid time off.
• Support for remote employees with office visits and workstation setup.
• Company equity as part of the compensation package.