Director, Machine Learning Engineering, Ads Measurement
Quick summary
- Work type
- Hybrid
- Location
- San Francisco, CAPalo Alto, CASeattle, WA
- Salary
- $314,580–$550,515 / yr
- Posted
- 3 days ago
- Freshness
- Confirmed live yesterday
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This role pays more than 99% of similar roles. Most pay $209,662–$270,500 — the shaded band above. At the midpoint, this role pays about $433k versus about $240k for comparable roles.
Based on 240 similar postings.
Employer
About Pinterest
Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.
Pinterest currently has 27 open roles on FindRole.
Listed pay typically runs $177,185–$339,078 across 27 roles with salary data.
Most-posted roles
- Technical Program Manager 6
- Machine Learning Engineer 4
- Software Engineer 4
- Data Scientist 3
- Engineer 2
At a glance
TL;DR · Director, Machine Learning Engineering, Ads Measurement
As Director, Machine Learning Engineering, Ads Measurement, you will lead a high-performing organization of managers and senior technical leaders to define the technical direction for the advertiser measurement and signal-quality ecosystem. You will oversee multi-year investments across Interfaces, Ingestion, User Match, and Conversion Quality while translating complex business challenges into scalable machine learning, data platform, and infrastructure solutions. The role involves managing cross-team design reviews, shared metrics, and launch governance while collaborating with Product, Data Science, Privacy, and Legal teams. You will navigate technical requirements involving large-scale data processing, identity, and signal quality in an environment demanding high reliability and privacy standards. Key technical areas include probabilistic matching, graph systems, anomaly detection, event-quality modeling, confidence scoring, and real-time or streaming systems to solve critical problems regarding advertiser measurement and signal availability.
Skills
What you'll do
- Define technical strategy and investment priorities for advertiser measurement and signal-quality systems.
- Lead a multi-layered engineering organization including managers and senior technical leaders.
- Translate complex business problems into scalable machine learning, data, and platform solutions.
- Drive multi-year investments in ML, data platforms, experimentation, privacy, and production reliability.
- Establish mechanisms for cross-team design reviews, shared metrics, and launch governance.
- Communicate strategy, risks, and technical trade-offs clearly to executive leadership.
- Recruit, retain, and develop a high-performing, inclusive engineering organization.
What we're looking for
- Strong background in ads measurement, identity, signals, and large-scale data processing.
- Experience leading an engineering organization through managers and senior technical leaders.
- Demonstrated ability to define and execute technical strategy across multiple teams.
- Experience operating systems with demanding scale, reliability, privacy, and data-quality requirements.
- Track record of improving organizational execution, developing leaders, and creating distributed ownership.
- Exceptional analytical thinking and ability to move from ambiguous business problems to measurable technical outcomes.
- Strong executive communication and cross-functional influence.
- Bachelor’s degree in a relevant field such as computer science, statistics, machine learning, or equivalent experience.
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