[Remote] Sr. Staff Machine Learning Engineer, Agentic Ads

Note: The job is a remote job and is open to candidates in USA. Pinterest is a platform that inspires creativity and planning for memorable experiences. They are seeking a Sr. Staff Machine Learning Engineer to lead the technical strategy for ads ranking and auctions, focusing on AI-driven development and collaboration with senior leaders to enhance advertiser performance and user experience.

Responsibilities

• 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 on ads strategy
• Grow as a technical leader by setting modeling standards, mentoring senior talent, and driving multi-quarter roadmaps across teams
• Access Pinterest’s rich multimodal data and modern ML/infra stack to experiment quickly and ship ambitious ideas

Skills

• Minimum of 8 years of experience in applied machine learning including large scale ranking or ads systems
• Deep expertise in modern recommendation and ranking techniques such as gradient boosted trees and deep learning based ranking models
• Experience building and operating ML systems at scale in languages such as Python or C++ and with modern data and experimentation platforms
• Demonstrated ability to use AI to improve speed and quality in your day to day workflow for modeling, experimentation and analysis
• Experience leading cross functional initiatives and influencing senior partners across product, engineering and research
• Bachelor's/Master's degree in a relevant field such as computer science or statistics, or equivalent experience
• High integrity and ownership in how you handle data, use AI responsibly and remain accountable for final decisions and deliverables

Benefits

• The position is also eligible for equity.
• Information regarding the culture at Pinterest and benefits available for this position can be found here.

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