Senior Machine Learning Engineer, Economist

atInstacartRemoteCA flagCanadaFull-timeMachine Learning EngineerSeniorC$180k – C$190k/year

Posted Aug 27

This is a fully remote position, open to applicants in Canada.

πŸ“‹ Description

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.


⛳️ Requirements

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: 1–3 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.


🏝️ Benefits

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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