
Senior Machine Learning Engineer, Economist
Posted Aug 27

Posted Aug 27
This is a fully remote position, open to applicants in Canada.
β’ Design, develop, and implement machine learning solutions to address economic challenges within Instacart's intricate marketplace.
β’ Work closely with product managers, data scientists, and engineers to grasp business requirements and create effective solutions.
β’ Enhance and evolve algorithms and models to boost operational efficiency.
β’ Disseminate insights, best practices, and research across various domains within the Economics team.
β’ Utilize economic theory, econometrics, and machine learning to tackle marketplace issues such as incentives, pricing, product placement, matching, logistics, advertising, uplift, long-term value modeling, and causal inference.
β’ Graduate degree (Masters or PhD) in Economics or a closely related discipline.
β’ Proven experience in applying causal inference methodologies to both observational and experimental datasets.
β’ Solid understanding of machine learning algorithms and techniques.
β’ Proficient in Python programming.
β’ Strong command of SQL and Pandas for data manipulation tasks.
β’ Familiarity with machine learning tools such as scikit-learn and XGBoost.
β’ Exceptional verbal and written communication abilities.
β’ Self-driven with a strong sense of ownership.
β’ For Senior Machine Learning Engineer I, Economist positions: 1β3 years of relevant industry experience.
β’ For Senior Machine Learning Engineer I, Economist positions: experience in deploying machine learning models in production settings.
β’ For Senior Machine Learning Engineer I, Economist positions: experience with cloud computing and associated ML infrastructure.
β’ Preferred: PhD in Economics or a closely related field with a focus on data-intensive problems.
β’ Preferred: internship experience in relevant roles.
β’ Preferred: experience with large language models and generative AI.
β’ Preferred: background in uplift modeling, contextual bandits, and/or heterogeneous treatment effect estimation.
β’ New hire equity grant.
β’ Annual refresh equity grants.
β’ Flexible work location options: home, office, or coffee shop.
β’ Regular in-person events.
β’ Competitive market compensation and benefits.
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