Senior Machine Learning Engineer, Causal & Decision Systems
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Summary
Builds and deploys advanced ML systems focused on causal inference and decision-making, using techniques like constrained optimization, contextual bandits, and policy learning to automate real-world decisions while managing uncertainty and monitoring performance in production.
- Apply constrained optimization
- Automate model deployment within guardrails
- Build causal response models
- Choose actions using uncertainty
- Deploy production machine learning systems with monitoring
- Design contextual bandits and active learning
- Estimate uncertainty for decisions
- Evaluate policies with counterfactual and off policy methods
- Perform policy learning
- Run experimentation for champion challenger systems
- Use behavioral datasets to improve decision systems
