Machine Learning Engineer - Speech Technologies - Remote

Overview

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.

In Short

• Make cutting-edge speech-to-text and text-to-speech technologies accessible to the open-source community.
• Work in existing open-source libraries, such as Transformers.
• Boost support for robust speech-to-text and text-to-speech technologies.
• Lead the creation of novel open-source libraries for ML in audio.
• Foster an active machine learning community.
• Interact with Researchers, ML practitioners, and data scientists.
• Encourage diverse applications and backgrounds.
• Provide reimbursement for relevant conferences and training.
• Offer flexible working hours and remote options.
• All employees have company equity as part of their compensation.

Requirements

• Passion for open-source and new technologies in speech processing.
• Industry experience in speech recognition, speaker diarization, or text-to-speech is a plus.
• Ability to work collaboratively in a distributed team.
• Strong communication skills.
• Experience with GitHub and community engagement.

Benefits

• Health, dental, and vision benefits for employees and dependents.
• Parental leave and flexible paid time off.
• Opportunity to visit office spaces in NYC and Paris.
• Support for workstation setup for remote employees.
• Culture that values diversity, equity, and inclusivity.