Sr. Staff Machine Learning Engineer, Agentic Ads

📋 Description

• Lead the technical strategy for ads ranking and bidding models using large-scale ML and agentic loops.
• Design, build and launch production models and signals to improve ads quality and relevance.
• Build and refine training, evaluation and feedback pipelines learning from online behavior and experiments.
• Own the technical strategy for advancing ads ranking models with AI/agentic loops and automation.
• Mentor and uplift other MLEs and scientists in advanced modeling techniques, tooling, and agentic workflows.
• Drive modeling standards and architectural decisions across the ads ML stack.

🎯 Requirements

• Minimum of 8 years of experience in applied machine learning including large-scale ranking or ads systems.
• Deep expertise in modern ranking techniques such as gradient boosted trees and deep learning-based ranking models.
• Experience building and operating ML systems at scale in Python or C++ and with modern data/experimentation platforms.
• Demonstrated ability to use AI to improve speed and quality in day-to-day workflow for modeling, experimentation and analysis.
• Experience leading cross-functional initiatives across product, engineering and research.
• Bachelor’s/Master’s degree in a relevant field such as computer science or statistics, or equivalent experience.

🎁 Benefits

• PinFlex program and hybrid in-office arrangement (in-person 1–2 times/month near specified offices).
• Equity and competitive compensation.
• Access to Pinterest’s rich multimodal data and modern ML/infra stack for rapid experimentation.
• Inclusive, equitable workplace culture with transparent policies.