[Hiring] Cloud Machine Learning Engineer @Hugging Face

Role Description

We are looking for a Cloud Machine Learning engineer responsible to help build machine learning solutions used by millions leveraging cloud technologies. You will work on integrating Hugging Face's open-source libraries like Transformers and Diffusers, with major cloud platforms or managed SaaS solutions.

• 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.

Qualifications

• 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.

Benefits

• Flexible working hours and remote options.
• Health, dental, and vision benefits 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.