Staff Machine Learning Engineer, Causal Inference
San Francisco, CA; Sunnyvale, CA; Los Angeles, CA; Seattle, WA; New York City, NY
USD 203K-299K Senior-level Full Time
Tasks
- Apply econometrics methods for causal estimation
- Build and productionize uplift models
- Build heterogeneous treatment effect models
- Build pipelines and model evaluation frameworks
- Debug and validate causal claims
- Design causal ML systems
- Design surrogate metrics and early indicators
- Develop counterfactual evaluation frameworks
- Implement experimentation observational data integration
- Translate causal models into production decision systems
Perks/Benefits
- 401k matching
- Basic life insurance
- Commuter benefits match
- Disability insurance
- Family-forming assistance
- Medical, dental, and vision insurance
- Mental health program
- Paid Holidays
- Paid parental leave
- Paid sick leave
- Paid time off
- Wellness benefits
Skills/Tech-stack
CUPED | Causal Decisioning | Causal Inference | Contextual Bandits | Counterfactual evaluation | Data Analysis | Diff-in-diff | Double ML | Doubly Robust | Doubly-robust estimation | Econometrics | Experimentation Design | Heterogeneous treatment effects | Instrumental Variables | Model Debugging | Observational data | Observational data analysis | Off Policy | Off-policy evaluation | Policy Evaluation | Ranking Models | Recommendation Systems | Robust Estimation | Search & Ranking | Surrogate metrics | Synthetic controls | Uplift Modeling
Education
N/A
Regions
Countries
States
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