Remote Machine Learning Advocate Engineer Internship, Audio - EMEA Remote

Description:

• The internship at Hugging Face focuses on advancing Machine Learning, particularly in the Audio domain, by making open-source tools more accessible to the community.
• Responsibilities include enabling the development of Audio Language Models (LMs), integrating with audio data providers, improving support for audio data types, building demos for audio/voice models, and creating new leaderboards for evaluations.
• The role involves fostering collaborations with groups in the ML for Audio Space, leading communications, adopting the latest Audio-related features, and building tools for the community.
• This is a technical position that requires a generalist mindset and contributions to libraries such as Transformers, Diffusers, and Datasets.

Requirements:

• Passion for open-source projects and making Audio LMs more accessible to engineers, researchers, and the broader audio community.
• Ability to contribute to the development of Audio LMs and work on integrations with audio data providers.
• Generalist mindset and technical skills to collaborate with groups in the ML for Audio Space.
• Willingness to adopt the latest Audio-related features and build tools for the community.
• Experience with libraries such as Transformers, Diffusers, or Datasets is a plus.

Benefits:

• Opportunity to work with some of the smartest people in the industry and a bias for impact within the organization.
• Reimbursement for relevant conferences, training, and education to support professional development.
• Flexible working hours and remote options, along with health, dental, and vision benefits for employees and their dependents.
• Parental leave and flexible paid time off to support employee well-being.
• Remote employees have the opportunity to visit office spaces in NYC and Paris, with workstations outfitted for success.
• Company equity as part of the compensation package, providing the opportunity to benefit from the company's success in the machine learning and artificial intelligence space.