Build the cloud bridges that help millions deploy real ML, faster and cleaner, across major platforms. If you live at the intersection of Hugging Face libraries, production MLOps, and developer experience, this role is built for impact.
About Hugging Face
Hugging Face is on a mission to democratize good AI through open-source tools and a massive builder community. They support developers and companies in training, sharing, and deploying modern machine learning models at scale.
Schedule
- Full-time, remote (United States)
- Flexible working hours
- Customer Success team (engineering-focused, developer-facing work)
What You’ll Do
- Bridge and integrate Transformers and Diffusers models with major cloud providers and managed SaaS platforms
- Ensure integrated models hit expected performance standards in real-world cloud environments
- Design and develop secure, robust developer experiences and APIs for users deploying ML
- Write technical documentation, examples, and notebooks that showcase new features and workflows
- Share results with the community and advocate for the work publicly
- Build and support model containerization and MLOps workflows using Docker
What You Need
- Deep hands-on experience with Hugging Face libraries (Transformers, Diffusers, Accelerate, PEFT, Datasets)
- Strong deep learning framework expertise (PyTorch preferred; XLA knowledge is a plus)
- Strong cloud experience (AWS and services like SageMaker, EC2, S3, CloudWatch, or Azure/GCP equivalents)
- Experience building MLOps pipelines and production deployments for ML systems
- Ability to write clear technical docs, examples, and notebooks end-to-end
- Bonus skills (nice to have): TypeScript, Rust, MongoDB, Kubernetes, Svelte, TailwindCSS
Benefits
- Flexible hours and remote work options
- Health, dental, and vision insurance (for employees and dependents)
- Parental leave
- Flexible paid time off
- Equity as part of compensation
- Reimbursement for conferences, training, and education
- Workstation support to help you succeed remotely
- Access to office visits (NYC and Paris) when helpful
If you’ve shipped production ML deployments and you care about making it easier for other builders to do the same, this is one of those rare roles where the work actually ripples outward.
Bring the framework chops, the cloud instincts, and the “make it usable” mindset.
Happy Hunting,
~Two Chicks…