Machine Learning Advocate Engineer Internship, Audio - EMEA Remote at Hugging Face

Welcome to Hugging Face, a hub for advancing and democratizing Machine Learning technology. As we journey to make ML more accessible, we contribute significantly to technology's progressive development.

We are proud to host the world's fastest-growing, open-source library of pre-trained models. With over 1 million models and 320K GitHub stars, our technology is trusted by more than 15,000 companies, including industry giants like Google, Elastic, Salesforce, Grammarly, and NASA.

About the Role

The rise of Large Language Models (LLMs) has led to an exponential increase in Audio LMs. The Hugging Face community leverages our ecosystem to train, evaluate, and share these models, datasets, and demos. As an intern, you will enable the development of next-gen Audio LMs by enhancing the accessibility of open-source tools for the community. This includes possible integrations with major audio data providers (e.g., Common Voice, GigaSpeech), improving support for various audio data types, constructing demos for cutting-edge audio/voice models, and crafting new leaderboards for evaluations (TTS Arena, Open ASR Leaderboard) within Spaces and Gradio.

Note: This is not a marketing position! Developer Advocacy at Hugging Face is profoundly technical and requires a generalist mindset. Our team actively contributes to libraries like Transformers, Diffusers, and Datasets, as well as external libraries.

You will drive collaborations within the ML for Audio Space, lead communications efforts, embrace the latest audio-related features, and build valuable tools for the community.

About You

If you have a passion for open-source, a desire to make Audio LMs more accessible to engineers, researchers, and the broader audio community, and want to contribute to one of the fastest-growing ML ecosystems, we are excited to receive your application!

More about Hugging Face

Diversity, Equity, and Inclusivity: We are committed to creating a culture that values diversity, equity, and inclusivity. Our aim is to build a respectful and supportive workplace, regardless of your background. This is fundamental to building a great company, community, and 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: At Hugging Face, you'll work with some of the smartest minds in our industry. We prioritize impact and continuous growth, providing all employees with reimbursement for relevant conferences, training, and education.

Employee Well-being: We offer flexible working hours and remote options, along with health, dental, and vision benefits for employees and their dependents. Our benefits package also includes parental leave and flexible paid time off.

Remote Work Support: Although we have offices in NYC and Paris, we support our distributed workforce extensively. Remote employees are welcome to visit our offices, and we ensure your home workstation is well-equipped for success.

Employee Equity: We believe in making our teammates shareholders. All employees receive company equity as part of their compensation package. As we strive to become a category-defining platform in machine learning and artificial intelligence, everyone shares in our success.