On-device ML Engineer - US Remote

Here at Hugging Face, we’re on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.

We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

About the Role

As an On-device ML Engineer, you will explore cutting edge methods to run models on consumer platforms, with a special focus on Apple technologies. Your responsibilities will include optimizing, quantizing, and converting the best models for efficient execution on iPhones and Macs. Additionally, you will design, build, and contribute to open source software that demonstrates model usage and develop libraries to minimize friction for developers who may not...