Manager II, Machine Learning Engineering, Ads Identity Modeling
About The Position
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Ads Identity Modeling (AIM) sits within the Ads Conversion Modeling group in the Ads Performance org and focuses on identity and conversion modeling that improves conversion ads performance and unlocks new optimization objectives in close partnership with Ads Measurement and ranking teams. We treat conversion data as firstâ class: growing resilient conversion signals and amplifying their usage across Pinterest to drive measurable impact in ads delivery and beyond. The team owns core identity and conversionâ linked ML systems, including User Match Prediction (UMP), and is also responsible for building models that focus on driving incremental conversions.
Requirements
- MS or PhD degree in Computer Science, Machine Learning, Statistics or related field.
- 6+ years of industry experience with related background in Ads conversion modeling/products or Ads measurement modeling/science.
- 2+ years of experience as TLM or EM managing an engineering or applied science team.
- Strong software engineering and mathematical skills with knowledge of machine learning.
Responsibilities
- Lead the roadmap and technical direction for User Match Prediction (UMP)-from features and training data to model deployment-to increase match rate/quality and strengthen downstream attribution and optimization.
- Define and productionize a model to generate a user match confidence score, and use it to optimize label weighting and feature construction in conversion models (e.g., oCPM/ROAS).
- Develop and ship models that increase incremental conversions, partnering with Data Science and Product to set success criteria and measurement plans.
- Partner with Ads Measurement, Ads Signals, Ranking, and ML Infra to translate identity improvements into reliable online impact and strong operational readiness.
- Guide model architecture evolution (e.g., feature interactions, multiâ task learning, serving freshness) and iterate on UMP initiatives that expand coverage and resilience (CAPI, WAU attribution, IPâ loss mitigation).
- Contribute to the longerâ term Identity Graph (IDG) collaboration (multiâ hop identifiers, candidate generation and ranking) to improve identity resolution and downstream utility.
- Hire, mentor and grow ML engineers in ads quality and partner teams and help to uplevel ML talent across the company.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Industry
Publishing Industries
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
