Machine Learning Engineer II
About the CompanyInstacart is a grocery technology and delivery platform focused on helping customers access groceries and household essentials while providing flexible earning opportunities for personal shoppers.About the RoleAs a Machine Learning Engineer II, you’ll develop and deploy ML solutions for Instacart’s marketplace and fulfillment systems. The role focuses on areas such as routing optimization, pricing, dispatch, matching, and mapping. You’ll collaborate with product managers, data scientists, backend engineers, and other stakeholders throughout the process—from prototyping and experimentation to production implementation.QualificationsMaster’s or PhD in Artificial Intelligence, Machine Learning, Operations Research, or equivalent self-study and experienceStrong programming skills in PythonFluency in SQL and Pandas for data manipulationExperience with ML tools such as scikit-learn, XGBoost, Keras/TensorFlowStrong analytical and problem-solving abilitiesExcellent communication and collaboration skills1–2 years of industry ML experience preferredKnowledge of deep learning frameworks and methodologies preferredExperience applying ML and optimization to marketplace problems preferredSkills & RequirementsMachine Learning, Artificial Intelligence, Python, SQL, Pandas, scikit-learn, XGBoost, Keras, TensorFlow, Deep Learning, Machine Learning Optimization, Data Analysis, Data Manipulation, Predictive Modeling, Algorithm Development, Routing Optimization, Pricing Optimization, Dispatch Systems, Geospatial Analytics, Marketplace Analytics, Large-Scale Datasets, Prototyping, Experimentation, Model Deployment, Problem Solving, Analytical Thinking, Stakeholder Collaboration, Product Analytics.Experience: 1–2 years preferredEducation: Master’s or PhD preferred/required as statedWork Arrangement: Remote / Flex FirstLocation: United StatesEqual OpportunityThe provided job description does not include a detailed Equal Opportunity Employer statement. It does state that Instacart offers market-competitive compensation and benefits based on employee location, experience, and skills, with eligibility for equity grants and annual refresh grants.