2 months ago
Remote, United StatesMid Level / Senior
H1B sponsor
Base Salary
$173k - $219k/yr
Responsibilities
- Design, develop, and deploy machine learning solutions for economic challenges in Instacart’s multi-sided marketplace.
- Collaborate with product managers, data scientists, and engineers to translate business needs into impactful machine learning solutions.
- Refine algorithms and models to improve operational efficiency.
- Contribute economic and engineering expertise across problems involving matching, logistics, online advertising, uplift and long-term value modeling, and causal inference.
- Share research, learnings, and best practices across the Economics team.
Requirements
- Master’s or PhD in Economics or a closely related field.
- Background combining economic theory, applied econometrics, and business skills.
- Experience applying causal inference methods to observational and experimental datasets.
- Understanding of machine learning algorithms and techniques.
- Strong Python programming skills and fluency with SQL, Pandas, scikit-learn, and XGBoost.
- Strong verbal and written communication skills, self-motivation, and ownership.
- For Senior Machine Learning Engineer I hires: 1–3 years of industry experience in a similar role, experience deploying machine learning models to production, and experience with cloud computing and related ML infrastructure.
- Preferred: PhD in Economics or a related field focused on data-intensive problems; related internship experience; experience with large language models and generative AI; and experience with uplift modeling, contextual bandits, or heterogeneous treatment effect estimation.
Benefits
- Remote Flex First work arrangement with flexibility to work from home, an office, or another preferred location, supported by regular in-person events.
- Competitive location-dependent base pay, new-hire equity grant, annual refresh grants, and benefits.
Categories
About Instacart
Instacart builds a grocery technology platform used by retailers and consumers for online shopping, delivery, and pickup. Its business spans a consumer marketplace, enterprise e-commerce and fulfillment software, and a retail media ads network, generating revenue from fees, subscriptions, software, and advertising. Founded in 2012 and headquartered in San Francisco, the company is publicly traded on Nasdaq and operates across the U.S. and Canada.