Machine Learning PhD Intern, Economics
42 – 50United StatesRemoteEntry level
Summary
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.
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
Skills
PythonRSQLPandasscikit-learnXGBoostKerasTensorFlowcausal inferenceeconometrics
Similar roles at this salary range
All ML Engineering jobs →Machine Learning Engineer, PhD Intern
PhD intern role focused on LLM research, large-scale ML systems, and e-commerce applications including search, recommendations, and knowledge graphs. Requires strong ML foundations and programming skills.
42 – 50United StatesML EngineeringRemoteEntry levelvLLMLLMs
AI Financial Modeling Extern
Develops AI-native financial modeling templates and standards for private markets platform, teaches AI agents best practices, and performs QA on automated model outputs. Requires investment banking or private equity experience with complex model building.
50 – 75San Francisco, CAML EngineeringHybridEntry levelExcelAI Agents