About the role
The team builds and maintains the data infrastructure that supports model pretraining. The engineer develops scalable systems for acquiring, processing, and curating large datasets, and collaborates with researchers to refine data composition and characteristics.
Our summary of the posting; the original is on the Cartesia careers page.
What the posting requires
- Required
- Generative models
- Datasets
- Training
- Inference
- ML data infrastructure
- Training data pipelines
- Dataset versioning
- Large-scale data loading
- Data systems
- Model training
- Preferred
- Ray
- Spark
- Kubernetes
- Large-scale data processing
- Pretraining
- Language models
These tags are our reading of the posting. They can miss something; the original posting is the reference.