Cloud Machine Learning Engineer
October 19
Description
• Help build machine learning solutions used by millions leveraging cloud technologies. • Work on integrating Hugging Face's open-source libraries with major cloud platforms. • Design & develop easy-to-use, secure, and robust Developer Experiences & APIs for users. • 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, 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
• 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 their compensation package.
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