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Cloud Machine Learning Engineer - Remote EMEA

Hugging FaceRemote — Paris, Île-de-France, France
Remote Full-time

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Experience Level

Experience

Qualifications

We seek candidates with a solid background in machine learning and cloud technologies. Key qualifications include:Proven experience working with Hugging Face technologies. Deep understanding of deep learning frameworks, particularly PyTorch. Familiarity with cloud platforms and their integration. Excellent communication skills for technical documentation and community engagement.

About the job

At Hugging Face, we are committed to making artificial intelligence accessible to everyone. Our platform has rapidly gained traction, serving over 11 million users who have shared more than 2 million models, 700,000 datasets, and 600,000 applications. Our open-source libraries boast over 600,000 stars on GitHub.

Hugging Face is recognized as the leading community-driven initiative for the training, sharing, and deployment of cutting-edge machine learning models. We prioritize workload efficiency in our mission to democratize state-of-the-art AI, continuously seeking innovative methods to enhance the speed and effectiveness of model training and deployment.

About the Role

We are in search of a talented Cloud Machine Learning Engineer to join our team and develop machine learning solutions utilized by millions, leveraging advanced cloud technologies. You will be responsible for integrating Hugging Face’s open-source libraries, such as Transformers and Diffusers, with leading cloud platforms and managed SaaS solutions.

For insights into the practical aspects of this role, explore our partnerships:
Hugging Face and AWS partner to make AI more accessible
Hugging Face and IBM partner on watsonx.ai, the next-generation enterprise studio for AI builders
Introducing SafeCoder
Hugging Face Collaborates with Microsoft to launch Hugging Face Model Catalog on Azure

Responsibilities

The ideal candidate will possess a strong foundation in both Machine Learning and Cloud Services:

  • Bridge and integrate Hugging Face’s Transformers and Diffusers models across various cloud providers.
  • Ensure optimal performance of the deployed models.
  • Design and develop user-friendly, secure, and robust developer experiences and APIs for our users.
  • Create technical documentation, examples, and notebooks to showcase new features.
  • Share and advocate your work and outcomes with the community.

About You

You will thrive in this role if you have experience deploying machine learning systems in production and are passionate about enhancing developer experiences. The ideal candidate will possess:

  • Extensive experience with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, and Datasets.
  • Expertise in Deep Learning Frameworks, particularly PyTorch, with optional knowledge of XLA.
  • Strong familiarity with cloud platforms.

About Hugging Face

Hugging Face is at the forefront of AI innovation, fostering a collaborative environment where developers can create, share, and deploy machine learning models. With a strong commitment to open-source development, we empower our community by providing state-of-the-art tools and resources to enhance AI accessibility.

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