Cloud Machine Learning Engineer - Emea Remote

Hugging Face

Paris, France
Not specified; equity: all employees have compyny ...
On-site
Deep experience with hugging face technologies
Expertise in pytorch deep learning framework
Strong knowledge of aws sagemaker ec2 s3
The role focuses on bridging Hugging Face's Transformers and Diffusers models with major cloud providers like AWS, Azure, and Google Cloud

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 and robust developer experiences while writing technical documentation and examples for millions of users.
  • Hugging Face offers equity compensation, flexible working hours, remote options, and reimbursement for conferences and training.

Matching Summary

The role focuses on bridging Hugging Face's Transformers and Diffusers models with major cloud providers like AWS, Azure, and Google Cloud.

Salary

Not specified; Equity: All employees have company equity as part of compensation package; Benefits: Health, dental, vision, parental leave, flexible PTO

Skills & Requirements

Must-have

  • Deep experience with Hugging Face Technologies
  • Expertise in PyTorch deep learning framework
  • Strong knowledge of AWS SageMaker EC2 S3
  • Experience building MLOps pipelines with Docker
  • Ability to deploy ML systems to production

Nice-to-have

  • Familiarity with TypeScript Rust and MongoDB
  • Experience with Kubernetes container orchestration
  • Knowledge of Svelte and TailwindCSS
  • Understanding of XLA compiler technology
  • Passion for community advocacy and documentation

Key Requirements

  • Deep experience deploying machine learning systems
  • Expertise in PyTorch or XLA understanding
  • Strong cloud platform knowledge (AWS/Azure/GCP)

Work Rights

Not specified

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