Sr. Staff Machine Learning Engineer, Agentic Ads

What you’ll do:

• Lead the technical strategy for advancing ads ranking and bidding models using large scale ML and agentic development loops.
• Design, build and launch production models and signals that improve ads quality, relevance and long term value.
• Build and refine training, evaluation and feedback pipelines that continuously learn from online behavior, experimentation results and advertiser outcomes.
• Use AI to accelerate analysis and iteration while applying judgment and verification to ensure correctness and quality.
• Own the technical strategy for advancing ads ranking models, with a focus on AI/agentic development loops and automation.
• Build and refine agentic training and evaluation pipelines that continuously learn from feedback signals, offline and production behavior.
• Partner closely with product, applied science, and infra teams to translate business objectives into modeling roadmaps and success metrics.
• Ensure models meet the bar for reliability, safety, fairness, and compliance with privacy and policy constraints.
• Drive technical design reviews, set modeling best practices, and make high-impact architectural decisions across the ads ML stack.
• Mentor and uplevel other MLEs and scientists in advanced modeling techniques, tooling, and agentic workflows.
• Lead frontier work applying AI- and agentic-driven development loops to one of Pinterest’s highest-leverage systems: ads ranking and auctions.
• Shape product outcomes at massive scale, with direct impact on advertiser value, Pinner experience, and company revenue.
• Partner with senior leaders across product, research, and infra, gaining broad visibility and influence.