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Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
- Stock options
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningads ranking modelsbidding modelsgradient boosted treesdeep learningPythonC++data experimentation platformsmodeling best practicesagentic development loops
Soft Skills
technical leadershipmentoringcross-functional collaborationinfluencinghigh integrityownershipcommunicationjudgmentaccountabilitystrategic thinking
Certifications
Bachelor's degree in computer scienceMaster's degree in statisticsequivalent experience