Hugging Face is looking for a Cloud Machine Learning Engineer to build machine learning solutions leveraged by millions of users. In this role, you will be responsible for integrating our open-source libraries with major cloud platforms and designing robust developer experiences.
What You'll Do
- Bridge and integrate Hugging Face transformers and diffusers models with different cloud providers.
- Ensure deployed models meet expected performance benchmarks.
- Design and develop easy-to-use, secure, and robust Developer Experiences and APIs.
- Write clear technical documentation, examples, and notebooks to demonstrate new features.
- Share and advocate for your work and results with the broader community.
What We're Looking For
- Deep experience building with Hugging Face technologies, including Transformers, Diffusers, Accelerate, PEFT, and Datasets.
- Expertise in a deep learning framework, preferably PyTorch.
- Strong knowledge of cloud platforms like AWS and services such as Amazon SageMaker, EC2, S3, CloudWatch and/or their Azure and GCP equivalents.
- Experience building MLOps pipelines for containerizing models and solutions with Docker.
- Ability to write clear documentation and work across the full product development lifecycle.
Nice to Have
- Optional understanding of XLA.
- Familiarity with Typescript, Rust, MongoDB, and Kubernetes.
- Bonus: Experience with Svelte and TailwindCSS.
Technical Stack
- Primary: PyTorch, AWS, Azure, GCP, Amazon SageMaker, EC2, S3, CloudWatch, Docker
- Secondary: Typescript, Rust, MongoDB, Kubernetes, Svelte, TailwindCSS
Benefits & Compensation
- Reimbursement for relevant conferences, training, and education.
- Flexible working hours and remote options.
- Health, dental, and vision benefits for employees and their dependents.
- Parental leave and flexible paid time off.
- Opportunity to visit offices in NYC and Paris.
- Workstation outfitting provided if needed.
- All employees receive company equity as part of their compensation package.
Work Mode
This is a remote position open to candidates located anywhere within the EMEA region.
Hugging Face is actively working to build a culture that values diversity, equity, and inclusivity. We are an organization with a bias for impact, continuously challenging ourselves to grow while supporting the ML/AI community.






