2 months ago
Remote, CanadaMid Level / Senior
Responsibilities
- Design, develop, and deploy machine learning solutions for economic challenges in Instacart’s marketplace.
- Collaborate with product managers, data scientists, and engineers to understand business needs and deliver impactful solutions.
- Improve operational efficiency by refining and advancing algorithms and models.
- Share research, learnings, and best practices across the Economics team.
Requirements
- A graduate degree in economics or a closely related field is required.
- Experience applying causal inference methodologies to observational and experimental datasets is required.
- Understanding of machine learning algorithms and techniques is required.
- Strong Python programming skills and fluency with SQL and Pandas are required.
- Experience with scikit-learn and XGBoost or similar machine learning tools is required.
- Excellent written and verbal communication, self-motivation, and ownership are required.
- Senior hires require 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 qualifications include a PhD 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
- Flex First remote work arrangement, with employees able to work from home, an office, or another preferred location.
- Regular in-person events to support connection and community.
- Eligibility for a new-hire equity grant and annual refresh grants.
- Hiring is currently limited to Ontario, Alberta, British Columbia, and Nova Scotia.
- Base pay for Canadian candidates is listed in CAD and varies by permanent work location, experience, and skills.
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.