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Senior Machine Learning Engineer, Economist

Instacart · United States - Remote

remotesenior$207,000–$207,000Posted Aug 27, 2026PythonSQLMachine LearningCausal InferenceXGBoostscikit-learnPandas

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About this role

**Senior Machine Learning Engineer, Economist** **Overview** As a machine learning engineer in the Economics team, you will build state-of-the-art systems that blend rigorous economic thought with sophisticated machine learning algorithms to tackle some of the company's most challenging problems. Working in a horizontal team, you will collaborate closely with partners across multiple functions on a highly diverse set of problems. **About the Job** • Design, develop, and deploy machine learning solutions to tackle economic challenges in our complex marketplace • Collaborate closely with product managers, data scientists, and other engineers to understand business needs and create impactful solutions • Push the envelope on operational efficiency by continually refining and advancing our algorithms and models • Be an active member of the Economics team, sharing learnings, best practices, and research across domains **Minimum Qualifications** • Graduate Degree (Masters or PhD) in Economics or a closely related field • A blend of economic theory, applied econometrics, and business skills • Experience applying causal inference methodologies to observational and experimental datasets • Understanding of machine learning algorithms and techniques • Strong programming skills (Python) and fluency in data manipulation (SQL, Pandas) and ML tools (scikit-learn, XGBoost) • Excellent communication skills (verbal and written) • Self-motivation and strong sense of ownership • 1-3 years of industry experience in a similar position • Experience putting machine learning models into production environments • Experience with cloud computing and related ML infrastructure **Preferred Qualifications** • PhD in Economics or closely related field with focus on data-intense problems • Intern experience in related roles • Experience with large language models and generative AI • Experience with uplift modeling, contextual bandits, and/or heterogeneous treatment effect estimation **Compensation** (US-based) CA, NY, CT, NJ: $207,000–$218,500 USD WA: $198,000–$209,000 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI: $190,000–$200,500 USD All other states: $173,000–$182,500 USD **Work Style** Flex First team — work from home, office, or your favorite coffee shop with regular in-person events. Remote role.

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