Instacart
Machine Learning PhD Intern, Economics (Fall)
United States - Remote (Remote)internAdded 2 days ago
About this role
Instacart's Economics team is seeking PhD-level interns to develop machine learning solutions addressing marketplace optimization, pricing, and causal inference problems. You'll work cross-functionally on high-impact projects spanning advertising, uplift modeling, logistics, and behavioral economics in a remote, flexible environment.
What you'll do
- Design and implement end-to-end machine learning solutions for economics problems
- Conduct causal inference analysis using observational and experimental data
- Collaborate with cross-functional teams including engineers, product managers, and data scientists
- Own projects from problem definition through experimentation and solution recommendation
- Contribute to marketplace optimization across consumers, shoppers, and retailers
- Share research insights and best practices within the internal economics community
What they're looking for
- Python or R programming
- Causal inference and econometrics
- Machine learning frameworks (scikit-learn, XGBoost, Keras/TensorFlow)
- SQL and data manipulation (Pandas)
- Economic theory and applied econometrics
- Experimental design and A/B testing
- Statistical analysis
- Business acumen
Benefits
- Flexible remote work arrangement
- Market-competitive compensation
- In-person community events
- Access to internal economics and data science community
- Ownership opportunities on meaningful projects
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