Remote Machine Learning Engineer for Audio - US Remote

Description:

• The Machine Learning Engineer for Audio will focus on making cutting-edge speech-to-text and text-to-speech technologies more accessible to the open-source community.
• The role involves working with existing open-source libraries, such as Transformers, to enhance support for robust speech-to-text, speaker diarization, and text-to-speech functionalities.
• The engineer will lead the creation of novel open-source libraries for machine learning in audio.
• The position includes fostering one of the most active machine learning communities and assisting users in contributing to and utilizing the tools developed.
• Daily interactions will occur with researchers, ML practitioners, and data scientists through platforms like GitHub, Discord, forums, or Slack.

Requirements:

• A passion for open-source and new technologies in text-to-speech and speech-to-text is essential.
• Industry experience in speech recognition, speaker diarization, dialogue systems, or text-to-speech is considered a plus.
• Candidates are encouraged to apply even if they do not meet every requirement, as the company values diverse skills, experiences, and backgrounds.

Benefits:

• Hugging Face promotes a culture of diversity, equity, and inclusivity, ensuring all employees feel respected and supported.
• Employees receive reimbursement for relevant conferences, training, and education to support their development.
• The company offers 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 are also provided.
• Remote employees have the opportunity to visit office spaces in NYC and Paris, and the company will outfit workstations to ensure success.
• All employees receive company equity as part of their compensation package, allowing them to benefit from the company's success.
• Hugging Face supports the ML/AI community through collaboration and shared advancements.