Machine Learning Engineer II, Ads - Response Prediction
Core
Design, develop, and deploy machine learning solutions for ads selection, ranking, bidding, and auction across Instacart's consumer-facing surfaces to optimize marketplace efficiency and ad relevance.
Role type
Machine Learning Engineer (Ads Response Prediction)
Builds
Ads selection, ranking, bidding, and auction systems; relevance models; pCTR models; bidding models; Foundation Model integrations.
Domain
Grocery delivery / Online advertising / Machine Learning
Deliverable
production ML models
Required skills
Machine Learning (classical and Deep Learning), Data manipulation (SQL, Spark, Pandas), Model architecture design, Data pipeline development, Algorithm refinement, Ambiguous problem formulation, Technical writing/presentation
Preferred skills
Sequential modeling, Transformer architecture, Foundation Models, LLM integrations, Agentic workflows, Large-scale online recommendation systems
Technologies
SQL, Spark, Pandas, LLMs, Transformers
Responsibilities
Design and deploy ML solutions including data pipelines and serving integrations; Formulate and scope ambiguous modeling problems from first principles; Collaborate with product managers, data scientists, and infrastructure engineers; Refine and advance algorithms to improve operational efficiency; Publish findings and contribute to technical rigor through design reviews and paper sharing.
Seniority
Mid-level, hands-on IC
