Cloud Machine Learning Engineer

October 19

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Hugging Face

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machine learning • natural language processing • deep learning

51 - 200

Description

• Join Hugging Face to advance accessible Machine Learning. • Build machine learning solutions used by millions leveraging cloud technologies. • Work on integrating open-source libraries with major cloud platforms or managed SaaS solutions. • Design & develop easy-to-use, secure, and robust Developer Experiences & APIs. • Write technical documentation, examples, and notebooks to demonstrate new features. • Share & advocate your work and results with the community.

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, MongoDB, Kubernetes is helpful. • Ability to write clear documentation, examples, and definition and work across the full product development lifecycle. • Bonus: Experience with Svelte & TailwindCSS.

Benefits

• Health, dental, and vision benefits for employees and their dependents. • Parental leave and flexible paid time off. • Flexible working hours and remote options. • Reimbursement for relevant conferences, training, and education. • Company equity as part of the compensation package.