Hugging Face
Remote (New York, NY, USA)
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 500K+ models and 250K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. About the Role As a Machine learning engineer, you will work mainly with existing open-source libraries, such as Transformers and Accelerate to boost the support for all the new advances in model training and fine-tuning such as DeepSpeed, fairscale, and all forms of model parallelism. You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build. You'll interact with Researchers, ML practitioners, and data scientists on a...