Responsibilities
- Bridging and integrating 🤗 transformers/diffusers models with a different Cloud provider.
- Ensuring the above models meet the expected performance
- Designing & Developing easy-to-use, secure, and robust Developer Experiences & APIs for our users.
- Write technical documentation, examples and notebooks to demonstrate new features
- Sharing & Advocating your work and the 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
Nice to Have
- 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
- Experience with Svelte & TailwindCSS
Benefits
- We are actively working to build a culture that values diversity, equity, and inclusivity.
- We are an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
- We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.
- We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off.
- We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed.
- We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.
- We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.
