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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, Machine Learning Engineering, Ads Measurement - **Company:** Pinterest - **Location:** San Francisco, CA, United States - **Salary:** $314,580.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Machine Learning, Azure Machine Learning, Information Technology, Privacy-preserving Technologies, Data Management, Stream Processing - **Published:** October 2, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18494467?backUrl=%2Fcareer%2F18494467%2FDirector-Machine-Learning-Engineering-Ads-Measurement-California-San-Francisco ## About the Role * 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. * 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. ## Description We're looking for a strategic and experienced engineering leader to define the technical direction for Pinterest's advertiser measurement and signal-quality ecosystem. In this role, you'll lead managers and senior technical leaders across Interfaces, Ingestion, User Match, and Conversion Quality, driving multi-year investments in machine learning, data platforms, experimentation, privacy, and production reliability. You'll partner closely with Product, Data Science, Ads Quality, Infrastructure, Privacy, Legal and Sales to translate complex advertiser and business challenges into scalable solutions-and build an inclusive, high-performing organization equipped to deliver measurable impact at scale. What you'll do: * Define technical strategy and investment priorities across Interfaces, Ingestion, User Match, and Conversion Quality. * Lead managers and senior technical leaders through a portfolio of multi-year ML and data-platform investments. * Partner with Product, Data Science, Ads Quality, Ads Infra, Core, Privacy, Legal, Sales, and Customer Operations. * Translate advertiser and business problems into scalable ML, data, and platform solutions. * Raise the bar for experimentation, causal measurement, model quality, reliability, privacy, and production operations. * Create mechanisms for cross-team design reviews, shared metrics, dependency management, and launch governance. * Communicate strategy, trade-offs, risks, and outcomes clearly to executives and cross-functional stakeholders. * Recruit, retain, and develop a high-performing, inclusive organization. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [It's all about the Data](https://www.wearedevelopers.com/videos/425-it-s-all-about-the-data) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [GitHub's Copilot Ads and Opt-out for AI Training Data](https://www.wearedevelopers.com/magazine/723-github-s-copilot-ads-and-opt-out-for-ai-training-data)