6 months ago
Base Salary
$173k - $219k/yr
Responsibilities
- Design, develop, and deploy machine learning solutions for practical marketplace challenges.
- Develop algorithms and models for order batching, shopper routing, service availability prediction, and real-time assignment.
- Collaborate with product managers, data scientists, and backend engineers to translate business needs into machine learning applications.
- Engage stakeholders to ensure solutions are integrated effectively and aligned with business goals.
- Continuously refine algorithms and models to improve operational efficiency, profitability, and shopper experience.
Requirements
- A master’s or PhD in Operations Research or Industrial Engineering is required.
- At least 3 years of industry experience using machine learning to solve real-world problems with large datasets is required.
- Strong programming skills in Python and fluency with SQL, Pandas, scikit-learn, XGBoost, and Keras or TensorFlow are required.
- Strong analytical, problem-solving, communication, and cross-functional collaboration skills are required.
- Knowledge of deep learning frameworks and methodologies is preferred.
- Experience applying machine learning and optimization techniques to marketplace problems is preferred.
Benefits
- Remote work with a Flex First policy allowing work from home, an office, or another preferred location
- Regular in-person events to build connection and community
- New hire equity grant and annual refresh grants
- Market-competitive compensation and benefits based on work location
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.