ML Internship: Deep Learning for Causal Inference
Tasks
- Benchmark against causal discovery baselines
- Build training pipelines
- Collaborate with ML scientists to prototype components
- Conduct experiments on public datasets
- Create benchmarking infrastructure
- Design models using tabular features and natural language context
- Develop simulation code
- Evaluate causal inference methods on tabular data
- Infer causal structure from factory data
Perks/Benefits
Skills/Tech-stack
Bayesian Inference | Causal Discovery | Causal Inference | Deep learning | Graph Neural Networks | JAX | LLM embeddings | Machine Learning | Neural Networks | Open Source | Probabilistic Modeling | PyTorch | Python | Retrieval | Tabular Data | Text Embeddings | Time Series
Education
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