Director, Machine Learning Engineering, Ads Measurement

pinterest· 44 open roles

Location TBD On-siteFull-time2 weeks ago

Salary

$315k - $551k

Experience

Mid

Job Type

Full-time

Posted

2 weeks ago

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About This RoleAI processing…

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.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Key Responsibilities

1
Define technical strategy and investment priorities across Interfaces, Ingestion, User Match, and Conversion Quality.
2
Lead managers and senior technical leaders through a portfolio of multi-year ML and data-platform investments.
3
Partner with Product, Data Science, Ads Quality, Ads Infra, Core, Privacy, Legal, Sales, and Customer Operations.
4
Translate advertiser and business problems into scalable ML, data, and platform solutions.
5
Raise the bar for experimentation, causal measurement, model quality, reliability, privacy, and production operations.
6
Create mechanisms for cross-team design reviews, shared metrics, dependency management, and launch governance.
7
Communicate strategy, trade-offs, risks, and outcomes clearly to executives and cross-functional stakeholders.
8
Recruit, retain, and develop a high-performing, inclusive organization.

Requirements

Strong background 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.
Nice-to-have experience: Experience leading through major privacy, browser, platform, or signal-availability changes.
Ads optimization, or privacy-enhancing technologies.
Probabilistic matching, graph systems, anomaly detection, event-quality modeling, or confidence scoring.
ML platforms, real-time or streaming systems, large-scale experimentation, and model governance.
Experience applying AI or agentic systems to developer productivity, advertiser troubleshooting, or data-quality operations.
We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.