Cloud Machine Learning Engineer - US 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 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github.

In Short

• Build machine learning solutions leveraging cloud technologies.
• Integrate Hugging Face's libraries with major cloud platforms.
• Ensure models meet expected performance.
• Design and develop secure and robust Developer Experiences & APIs.
• Write technical documentation and examples.
• Share and advocate work with the community.
• Experience with Hugging Face Technologies.
• Expertise in Deep Learning Frameworks, preferably PyTorch.
• Strong knowledge of cloud platforms like AWS.
• Experience in building MLOps pipelines.

Requirements

• Deep experience with Hugging Face Technologies.
• Expertise in Deep Learning Frameworks, preferably PyTorch.
• Strong knowledge of AWS services.
• Experience in building MLOps pipelines with Docker.
• Familiarity with Typescript, Rust, and MongoDB.
• Ability to write clear documentation.
• Bonus: Experience with Svelte & TailwindCSS.

Benefits

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