Latest ML Engineering jobs at Instacart

Build and deploy machine learning systems that apply economic theory, econometrics, and causal inference to marketplace problems. The role requires advanced training in economics, strong Python and data skills, and production ML experience for senior-level hires.

Develop and deploy machine learning systems for Instacart’s advertising ecosystem, spanning data pipelines, model architectures, serving, experimentation, and optimization. The role requires a graduate degree and strong programming, analytical, and collaboration skills, with experience in large-scale ML systems preferred.

Develop and deploy production machine learning models for real-time inventory and shelf-stocking intelligence at scale. The role requires 5+ years of production ML experience, strong Python and ML framework skills, cloud and data pipeline expertise, and a bachelor's degree or equivalent experience.

Build production LLM-powered systems for Instacart’s AI-for-Data platform, including retrieval, agentic workflows, evaluations, and internal data tools. The role requires strong Python backend engineering, SQL and data infrastructure experience, applied LLM expertise, and at least five years of professional experience.

Architect and build multi-task, multi-objective ranking systems that unify search, recommendations, ads, and merchandising. Design long-horizon value models, causal inference systems, and low-latency inference layers while mentoring ML engineers.

Lead research on pCTR and conversion models for Instacart Ads. Tackle bias mitigation, calibration, multi-task learning, and generative retrieval systems. Requires 6+ years ML experience and advanced degree.

Senior ML Engineer applies operations research, combinatorial optimization, and AI to solve logistics challenges like order batching, shopper routing, and real-time assignment. Requires master's/PhD in OR/Industrial Engineering, 3+ years ML experience with Python, SQL, and ML frameworks.

Leads algorithmic development for Instacart's ads optimization systems, including real-time bidding, budget pacing, and auction mechanics using constrained optimization and control theory. Requires MS/PhD, 8+ years experience deploying production systems at scale, and proficiency in Go/Java/C++/Python.