Senior Machine Learning Engineer, Economist

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

📋 Description

• Develop cutting-edge machine learning systems that merge economic theories with advanced machine learning algorithms.

• Create, implement, and optimize machine learning solutions addressing economic challenges within Instacart’s marketplace.

• Collaborate with product managers, data scientists, and engineers to identify business needs and develop impactful solutions.

• Enhance and evolve algorithms and models to boost operational efficiency.

• Disseminate insights, best practices, and research findings across various domains within the Economics team.

• Engage in areas such as marketplace incentives, pricing, product placement, matching and logistics, online advertising, uplift and long-term value modeling, as well as causal inference.

⛳️ Requirements

• Master's or PhD degree in Economics or a closely related discipline.

• A combination of economic theory, applied econometrics, and business acumen.

• Proficient in applying causal inference methodologies to both observational and experimental datasets.

• Familiarity with machine learning algorithms and techniques.

• Strong programming capabilities in Python.

• Proficient in SQL and Pandas.

• Experience with machine learning frameworks such as scikit-learn and XGBoost.

• Exceptional verbal and written communication skills.

• Self-driven with a strong sense of ownership.

• For the Senior Machine Learning Engineer I position: 1-3 years of relevant industry experience.

• For the Senior Machine Learning Engineer I position: experience in deploying machine learning models in production settings.

• For the Senior Machine Learning Engineer I position: familiarity with cloud computing and related machine learning infrastructure.

• Preferred: PhD in Economics or a closely related field focused on data-intensive challenges.

• Preferred: internship experience in relevant roles.

• Preferred: experience with large language models and generative AI.

• Preferred: knowledge of uplift modeling, contextual bandits, and/or heterogeneous treatment effect estimation.

🏝️ Benefits

• Flex First work policy: employees have the option to work from home, an office, or a coffee shop.

• Regular in-person events.

• Equity grant for new hires.

• Annual equity refresh grants.

• Market-competitive compensation and benefits.