Relational Foundation Model Engineer, Modern Data Stack
Tasks
- Accelerate high performance inference
- Build graph neural network models
- Collaborate with researchers across ML lifecycle
- Design transformer architectures for relational data
- Develop applications for fraud detection and predictive maintenance
- Develop applications for recommendation and forecasting
- Evaluate model performance across diverse schemas
- Optimize models for post training performance
- Train foundation models at scale
Perks/Benefits
Skills/Tech-stack
Customer Retention | Deep learning | Entity Resolution | Fraud Detection | Graph Machine Learning | Graph Neural Networks | Inference acceleration | Machine Learning | Model Optimization | Model Training | Neural Networks | PyTorch | Python | Recommendation Systems | Relational databases | Series forecasting | Time Series | Time Series Forecasting | Transformer Models
Education
Regions
Countries
States
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