Full-Time

Cloud Machine Learning Engineer

Hugging Face

Hugging Face

201-500 employees

Platform for collaboration on machine learning models

AI & Machine Learning

Junior, Mid, Senior

Remote in USA

Required Skills
Kubernetes
Microsoft Azure
Pytorch
Docker
AWS
MongoDB
Google Cloud Platform
Requirements
  • Deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, Datasets
  • Expertise in Deep Learning Framework, preferably PyTorch, optionally XLA understanding
  • Strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, S3, CloudWatch and/or Azure and GCP equivalents
  • Experience in building MLOps pipelines for containerizing models and solutions with Docker
  • Familiarity with Typescript, Rust, and MongoDB, Kubernetes are helpful
  • Ability to write clear documentation, examples and definition and work across the full product development lifecycle
  • Bonus: Experience with Svelte & TailwindCSS
Responsibilities
  • Bridging and integrating 🤗 transformers/diffusers models with a different Cloud provider
  • Ensuring the above models meet the expected performance
  • Designing & Developing easy-to-use, secure, and robust Developer Experiences & APIs for our users
  • Write technical documentation, examples and notebooks to demonstrate new features
  • Sharing & Advocating your work and the results with the community

Company Stage

Series D

Total Funding

$395.2M

Headquarters

Paris, France

Founded

2016

Growth & Insights
Headcount

6 month growth

28%

1 year growth

63%

2 year growth

185%

Benefits

Flexible Work Environment

Health Insurance

Unlimited PTO

Equity

Growth, Training, & Conferences

Generous Parental Leave