Description:

Hugging Face is seeking a Cloud Machine Learning Engineer to help build machine learning solutions used by millions, leveraging cloud technologies.
The role involves integrating Hugging Face's open-source libraries like Transformers and Diffusers with major cloud platforms or managed SaaS solutions.
Responsibilities include bridging and integrating models with different cloud providers, ensuring model performance, designing and developing secure and robust Developer Experiences and APIs, writing technical documentation, and advocating work within the community.
The ideal candidate should have a passion for deploying machine learning systems to production and building great developer experiences.

Requirements:

Candidates must have deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, and Datasets.
Expertise in a Deep Learning Framework, preferably PyTorch, with optional understanding of XLA is required.
Strong knowledge of cloud platforms like AWS and services such as Amazon SageMaker, EC2, S3, CloudWatch, and/or equivalents in Azure and GCP is necessary.
Experience in building MLOps pipelines for containerizing models and solutions with Docker is essential.
Familiarity with Typescript, Rust, MongoDB, and Kubernetes is helpful.
Candidates should be able to write clear documentation and work across the full product development lifecycle.
Bonus skills include experience with Svelte and TailwindCSS.

Hugging Face offers a culture that values diversity, equity, and inclusivity, ensuring a respectful and supportive workplace.
Employees receive reimbursement for relevant conferences, training, and education to support their development.
The company provides flexible working hours, remote options, and health, dental, and vision benefits for employees and their dependents.
Parental leave and flexible paid time off are also offered.
Remote employees have the opportunity to visit office spaces in NYC and Paris, with workstation outfitting provided if needed.
All employees receive company equity as part of their compensation package, allowing them to benefit from the company's success.
Hugging Face supports the ML/AI community through collaboration and engagement in scientific advancements.