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Lead
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Pinterest
Lead
Hybrid
San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
Director, Machine Learning Engineering
P
Pinterest
Зарплата
$26,200–$45,900
Уровень
Lead
Формат
Hybrid
О роли
Описание вакансии
About the company
Pinterest is a platform where millions of people find creative ideas and plan for memories.
AI is a powerful partner that augments creativity and amplifies impact.
Responsibilities
Define technical strategy and investment priorities across Interfaces, Ingestion, User Match, and Conversion Quality.
Lead managers and senior technical leaders through 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 to executives and cross-functional stakeholders.
Recruit, retain, and develop a high-performing, inclusive organization.
Requirements
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 and developing leaders.
Exceptional analytical thinking and executive communication.
Bachelor's degree in computer science, statistics, machine learning, or equivalent experience.
Nice-to-have: experience with privacy changes, ads optimization, probabilistic matching, graph systems, anomaly detection, ML platforms, real-time/streaming systems, large-scale experimentation, model governance, AI/agentic systems.
Conditions
This position is not eligible for relocation assistance.
In-office requirement varies by department.
Eligible for equity.
US based applicants only.
Стек и навыки
С чем работаем
Machine Learning
Data Platforms
Experimentation
Privacy
Probabilistic Matching
Graph Systems
Anomaly Detection
Streaming Systems
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