Machine Learning Advocate Engineer Internship, Audio - US Remote

Welcome to Hugging Face! Join us on our mission to advance accessible Machine Learning technology and contribute to a better technological future.

About Hugging Face

Hugging Face is home to the fastest-growing open-source library of pre-trained models globally. With over 1 million models and 320K stars on GitHub, our technology is utilized by more than 15000 companies, including industry leaders such as Google, Elastic, Salesforce, Grammarly, and NASA.

About the Role

As large language models (LLMs) proliferate, the demand for Audio LLMs has surged. The Hugging Face ecosystem supports the training, evaluation, and sharing of these models, datasets, and demos. This internship aims to enhance the accessibility of open-source tools for the community, with potential projects that include:

• Integrations with audio data providers like Common Voice and GigaSpeech
• Enhanced support for various audio data types
• Development of demos for cutting-edge audio/voice models
• Creation of new leaderboards for evaluations, such as TTS Arena and Open ASR Leaderboard within Spaces and Gradio

Note: This role is deeply technical and not a marketing position. Developer Advocacy at Hugging Face involves contributing to libraries such as Transformers, Diffusers, or Datasets, and collaborating on external projects.

You'll have the opportunity to foster collaborations within the ML for Audio Space, lead communications, adopt the latest audio-related features, and build tools for the community.

About You

We're looking for individuals who:

• Have a passion for open-source development
• Are dedicated to making Audio LLMs accessible to engineers, researchers, and enthusiasts
• Want to contribute to one of the fastest-growing ML ecosystems

If this sounds like you, we eagerly await your application!

Why Join Hugging Face?

Our Culture & Values

We prioritize diversity, equity, and inclusivity. We strive to build a workplace characterized by respect and support, regardless of who you are or where you come from. This commitment is essential to building a great company and community, and to shaping the future of machine learning. Hugging Face is an equal opportunity employer, and we do not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or ability status.

Professional Development

We value growth. Collaborate with some of the brightest minds in the industry. We encourage continuous self-improvement and provide reimbursement for relevant conferences, training, and educational opportunities.

Employee Well-Being

We care about your health and work-life balance. Enjoy flexible working hours and remote work options. Our benefits include health, dental, and vision coverage for employees and their dependents, as well as parental leave and flexible paid time off.

Support for Remote Employees

We ensure remote employees thrive. Although we have offices in NYC and Paris, we're a globally distributed team. Remote employees are welcome to visit our offices and will receive the necessary equipment to succeed in their roles.

Equity Participation

We want our teammates to be shareholders. Every employee receives company equity as part of their compensation package. If Hugging Face succeeds as a category-defining platform in machine learning and AI, everyone benefits from our shared success.

Ready to join us on this exciting journey? Apply now for the Machine Learning Advocate Engineer Internship - Audio, and be a part of the Hugging Face family!