Not specified; equity included for all employees; ...
**
Deep experience with hugging face technologies
Expertise in pytorch deep learning framework
Strong knowledge of aws sagemaker or azure services
**
Hugging Face is seeking a Cloud Machine Learning Engineer to develop machine learning solutions leveraging cloud technologies, specifically integrating their open-source libraries with major cloud platforms. The role requires deep experience with machine learning frameworks and cloud services, emphasizing a collaborative and community-driven culture within the company.
**
Job Summary
The role focuses on bridging Hugging Face's Transformers and Diffusers models with major cloud providers like AWS, Azure, and Google Cloud.
Candidates will design secure, robust developer experiences and APIs while writing technical documentation and examples for the community.
Hugging Face offers equity to all employees, flexible working hours, remote options, and reimbursement for conferences and training.
Matching Summary
Match Score: 75
**
Hugging Face is seeking a Cloud Machine Learning Engineer to develop machine learning solutions leveraging cloud technologies, specifically integrating their open-source libraries with major cloud platforms. The role requires deep experience with machine learning frameworks and cloud services, emphasizing a collaborative and community-driven culture within the company.
**
Salary
Not specified; Equity included for all employees; Flexible paid time off and health benefits provided
Skills & Requirements
Must-have
Deep experience with Hugging Face Technologies
Expertise in PyTorch deep learning framework
Strong knowledge of AWS SageMaker or Azure services
Experience building MLOps pipelines with Docker
Nice-to-have
Familiarity with TypeScript, Rust, and MongoDB
Knowledge of Kubernetes container orchestration
Experience with Svelte and TailwindCSS
Understanding of XLA compiler technology
Key Requirements
Deep experience deploying machine learning systems to production