Cloud Machine Learning Engineer - Remote

Overview

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.

In Short

• We are looking for a Cloud Machine Learning engineer responsible for building machine learning solutions using cloud technologies.
• Integrate Hugging Face's open-source libraries with major cloud platforms.
• Ensure models meet expected performance.
• Design & develop user-friendly APIs for developers.
• Write technical documentation and examples for new features.
• Share and advocate your work with the community.
• Deep experience with Hugging Face Technologies is required.
• Expertise in Deep Learning Frameworks, preferably PyTorch.
• Strong knowledge of cloud platforms like AWS and Azure.
• Experience in building MLOps pipelines is a plus.

Requirements

• Deep experience building with Hugging Face Technologies, including Transformers and Diffusers.
• Strong knowledge of cloud platforms like AWS and services like Amazon SageMaker.
• Experience in building MLOps pipelines for containerizing models.
• Familiarity with Typescript, Rust, and MongoDB is helpful.
• Ability to write clear documentation and work across the product development lifecycle.
• Bonus: Experience with Svelte & TailwindCSS.

Benefits

• Flexible working hours and remote options.
• Health, dental, and vision benefits for employees and dependents.
• Parental leave and flexible paid time off.
• Reimbursement for relevant conferences, training, and education.
• Opportunity to visit office spaces in NYC and Paris.
• Company equity as part of the compensation package.
• Support for the ML/AI community.