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Cloud Machine Learning Engineer - US remote

1 week ago
United States
Full-time
Senior
Cloud Engineer
DevOps and Infrastructure
AWS Azure Docker EC2 GCP Hugging Face Kubernetes MongoDB PyTorch Rust Svelte Tailwind CSS Transformers TypeScript
Apply Now
Hugging Face

Hugging Face

Hugging Face: Advancing AI through open collaboration. Platform for ML model collaboration and tools for AI project creation.

IT Services
51-250
Founded 2016
$395M raised
View All Jobs 8

Description

  • Bridge and integrate Hugging Face Transformers and Diffusers models with different cloud providers and managed services.
  • Ensure deployed models meet expected performance and efficiency requirements.
  • Design and develop secure, robust, and easy-to-use developer experiences and APIs.
  • Write technical documentation, examples, and notebooks to showcase new features and use cases.
  • Share work and results with the community and advocate for the team's work publicly.
  • Collaborate across the full product development lifecycle to deliver cloud ML solutions.
  • Help build machine learning solutions used at scale by millions of users.

Requirements

  • Deep experience building with Hugging Face technologies, including Transformers, Diffusers, Accelerate, PEFT, and Datasets.
  • Strong experience with deep learning frameworks, preferably PyTorch, with XLA knowledge as a plus.
  • Strong knowledge of cloud platforms such as AWS, or Azure/GCP equivalents.
  • Experience with Amazon SageMaker, EC2, S3, and CloudWatch, or comparable cloud services.
  • Experience building MLOps pipelines and containerizing models and solutions with Docker.
  • Familiarity with TypeScript, Rust, MongoDB, and Kubernetes is helpful.
  • Ability to write clear documentation, examples, and definitions.
  • Interest in deploying machine learning systems to production and building great developer experiences.
  • Bonus: experience with Svelte and TailwindCSS.

Benefits

  • Flexible working hours and remote work options.
  • Health, dental, and vision coverage for employees and their dependents.
  • Parental leave and flexible paid time off.
  • Company equity as part of the compensation package.
  • Reimbursement for relevant conferences, training, and education.
  • Opportunity to visit Hugging Face offices in NYC and Paris if remote.
  • Workstation support and equipment provided if needed.

Interested in this position?

Apply directly on the company website

Apply Now

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