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Cloud Machine Learning Engineer - US remote

3 weeks, 6 days 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
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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 7

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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