Manager II, Machine Learning Engineering, Ads Identity Modeling

Job Location:

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

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 firstclass: 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 conversionlinked ML systems including User Match Prediction (UMP) and is also responsible for building models that focus on driving incremental conversions.

What youll do:

Lead the roadmap and technical direction for User Match Prediction (UMP)from features and training data to model deploymentto 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 multitask learning serving freshness) and iterate on UMP initiatives that expand coverage and resilience (CAPI WAU attribution IPloss mitigation).
Contribute to the longerterm Identity Graph (IDG) collaboration (multihop 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.

What were looking for:

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.

In-Office Requirement Statement

We let the type of work you do guide the collaboration style. That means were not always working in an office but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration once a week and therefore needs to be in a commutable distance from one of the following offices: San Francisco / Palo Alto / Seattle

Relocation Requirement Statement

This position is not eligible for relocation assistance.

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Required Experience:

Manager

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 ...

What youll do:

Lead the roadmap and technical direction for User Match Prediction (UMP)from features and training data to model deploymentto 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 multitask learning serving freshness) and iterate on UMP initiatives that expand coverage and resilience (CAPI WAU attribution IPloss mitigation).
Contribute to the longerterm Identity Graph (IDG) collaboration (multihop 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.

What were looking for:

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.

In-Office Requirement Statement

We let the type of work you do guide the collaboration style. That means were not always working in an office but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration once a week and therefore needs to be in a commutable distance from one of the following offices: San Francisco / Palo Alto / Seattle

Relocation Requirement Statement