[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 dedicated to inspiring creativity and planning memorable experiences. They are seeking a Sr. Staff Machine Learning Engineer to lead the technical strategy for ads ranking and bidding models, utilizing large-scale machine learning and innovative development loops to enhance ad quality and relevance.
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.
- Visit our PinFlex page to learn more about our working model.
- This role will need to be in the office for in person collaboration 1–2 times/month and therefore needs to be in a commutable distance from one of the following offices: Seattle, San Francisco, Palo Alto or Los Angeles.
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