Sr. Staff Machine Learning Engineer, Ads Content Integrity & Quality
March 20
🏢 In-office - San Francisco
Description
• Own the technical direction of Ads content integrity and quality at Pinterest. • Serve as technical authority for engineering design and implementation of end to end systems to identify and address policy violations, and developing content quality signals for delivery of relevant high-performing ads. • Work with a diverse group of engineers and program managers within the monetization group, and devise effective technical strategy and roadmap. • Be hands-on and develop models and systems that lead to step-function improvements of Ads products. Serve as a technical mentor to team members, setting an example for best practices and impact. • Research and apply cutting edge ML techniques, like LLM, multi-modal modeling, distillation, human-in-the-loop systems, etc. to enable Pinterest to be a safe and performant advertising platform.
Requirements
• MS or Ph.D degree in Computer Science, Machine learning, Statistics, or related field. • Experience in both designing and implementing large scale ML applications. Experience with policy enforcement is a strong plus. • Rich experience in leveraging ML technologies in Ads delivery, and deep understanding of delivery tech stack and product development cycle. • Strong execution skills in project management, with the leadership capability for XFN projects. • Experience using LLM, multi-modal modeling, etc is a strong plus. • Ads Integrity, Ads Review, Ads Spam experience is a plus, but not required.
Benefits
• Information regarding the culture at Pinterest and benefits available for this position can be found here. • $206,456 - $360,985 USD base salary range for position. Final salary based on factors including location, travel, relevant prior experience, or particular skills and expertise.
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