Manager II, Machine Learning Engineering, Ads Identity Modeling
Manager II, Machine Learning Engineering, Ads Identity Modeling
Job Description
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, multi-task learning, serving freshness) and iterate on UMP initiatives that expand coverage and resilience (CAPI, WAU attribution, IP-loss mitigation).
- Contribute to the longer-term Identity Graph (IDG) collaboration (multi-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.
Qualifications
- 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.
Locations
- San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
Salary
222,716 - 389,753 USD / yearly
Skills Required
- Machine learningintermediate
- Software engineeringintermediate
- Mathematical skillsintermediate
- Ads conversion modelingintermediate
- Ads measurement modelingintermediate
- Team managementintermediate
Required Qualifications
- MS or PhD degree in Computer Science, Machine Learning, Statistics or related field. (experience)
- 6+ years of industry experience with related background in Ads conversion modeling/products or Ads measurement modeling/science. (experience)
- 2+ years of experience as TLM or EM managing an engineering or applied science team. (experience)
- Strong software engineering and mathematical skills with knowledge of machine learning. (experience)
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, multi-task learning, serving freshness) and iterate on UMP initiatives that expand coverage and resilience (CAPI, WAU attribution, IP-loss mitigation).
- Contribute to the longer-term Identity Graph (IDG) collaboration (multi-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.
Tags & Categories
Manager II, Machine Learning Engineering, Ads Identity Modeling
Manager II, Machine Learning Engineering, Ads Identity Modeling
Job Description
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, multi-task learning, serving freshness) and iterate on UMP initiatives that expand coverage and resilience (CAPI, WAU attribution, IP-loss mitigation).
- Contribute to the longer-term Identity Graph (IDG) collaboration (multi-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.
Qualifications
- 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.
Locations
- San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
Salary
222,716 - 389,753 USD / yearly
Skills Required
- Machine learningintermediate
- Software engineeringintermediate
- Mathematical skillsintermediate
- Ads conversion modelingintermediate
- Ads measurement modelingintermediate
- Team managementintermediate
Required Qualifications
- MS or PhD degree in Computer Science, Machine Learning, Statistics or related field. (experience)
- 6+ years of industry experience with related background in Ads conversion modeling/products or Ads measurement modeling/science. (experience)
- 2+ years of experience as TLM or EM managing an engineering or applied science team. (experience)
- Strong software engineering and mathematical skills with knowledge of machine learning. (experience)
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, multi-task learning, serving freshness) and iterate on UMP initiatives that expand coverage and resilience (CAPI, WAU attribution, IP-loss mitigation).
- Contribute to the longer-term Identity Graph (IDG) collaboration (multi-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.
Tags & Categories