PhD intern on Instacart's Economics team building ML solutions at the intersection of economics and machine learning. Requires causal inference expertise, Python/R, and SQL/Pandas fluency.
Salary not listed
RemoteEntry levelML Engineering
About the role
Responsibilities
Design and build end-to-end machine learning solutions
Work in small, cross-functional product teams with opportunities for growth and project ownership
Actively participate in an internal community of economists, data scientists, operations research scientists, and machine learning engineers
Develop high-impact solutions to support Instacart's growth plans
Work closely with engineers, product managers, and stakeholders from problem understanding through solution recommendation and controlled experiment testing
Suggest and drive organization-wide initiatives
Requirements
Current or recently graduated PhD student in economics or related field (marketing, finance, operations research) with focus on data-intensive problems
Blend of economic theory, applied econometrics, and business acumen
Expertise in causal inference with observational and experimental data
Expertise in Python or R
Fluency in data manipulation (SQL, Pandas) and machine learning tools (scikit-learn, XGBoost, Keras/Tensorflow)
Self-motivation and strong sense of ownership
Nice-to-Haves
Research experience in computationally intensive empirical topics
Exposure to machine learning coursework and applications
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