Applied AI Scientist
Tasks
- Collaborate with engineering, product, and data science teams
- Deliver high quality project results
- Develop distributed training and inference workflows
- Evaluate new AI/ML techniques and tools
- Identify obstacles and resolve technical issues
- Research foundation models for machine generated data
- Share technical insights and best practices
- Translate research ideas into production systems
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Causal Graphs | Continuous Learning | Contrastive Learning | DGL | Distributed Training | Drift Detection | Dynamic Graph Forecasting | GNN | Graph Contrastive Learning | Graph Neural Networks | Graph Representation | Graph Representation Learning | Graph transformers | Heterogeneous Graphs | Inference Optimization | Knowledge graphs | MLOps | Model Optimization | Multi-Modal | Multi-modal Fusion | Neural Networks | Production Monitoring | PyTorch | PyTorch Geometric | Python | Representation Learning | Retraining | Spatio Temporal Graphs | TensorFlow
Education
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