Description
Les missions du poste Here at Hugging Face, we're on a journey to advance and democratize machine learning for everyone. Along the way, we contribute to the development of technology for the better. Over five thousand companies are using our technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly. At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 2M models, 700k datasets & 600k apps. Our open-source libraries have more than 600k+ stars on Github. Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models. About the Role We are looking for a Cloud Machine Learning engineer responsible to help build machine learning solutions used by millions leveraging cloud technologies. You will work on integrating Hugging Face's open-source libraries like Transformers and Diffusers, with major cloud platforms or managed SaaS solutions. You may want to take a look at these announcements to get a better sense of what this role might mean in practice : Responsibilities We are looking for talented people with deep experience and passion for both Machine Learning (at the framework level) and Cloud Services: - Bridging and integrating transformers/diffusers models with a different Cloud provider. - Ensuring the above models meet the expected performance - Designing & Developing easy-to-use, secure, and robust Developer Experiences & APIs for our users. - Write technical documentation, examples and notebooks to demonstrate new features - Sharing & Advocating your work and the results with the community. About You You'll enjoy w