Remote Cloud Machine Learning Engineer Job in United States Hugging Face

Who you are

• Deep experience with Hugging Face technologies including Transformers, Diffusers, and Accelerate.
• Expertise in deep learning frameworks preferably PyTorch with optional XLA understanding.
• Strong knowledge of cloud platforms such as AWS, Azure and GCP and their services like Amazon SageMaker, EC2, S3 and CloudWatch.
• Proven ability in MLOps particularly with Docker for containerizing models and solutions.
• Ability to write clear documentation and work across the full product development lifecycle.

Desirables

• Svelte
• TailwindCSS
• Kubernetes

What the job involves

• Contribute to advancing machine learning technology through Hugging Face's open-source models like Transformers and Diffusers.
• Integrate state-of-the-art machine learning solutions with major cloud platforms and managed SaaS solutions.
• Write detailed technical documentation, examples and notebooks to demonstrate the applications and advantages of new features.