Leads technical strategy and architecture for content quality ML signals at Pinterest, driving GenAI safety, signal development, and cross-team adoption in ranking and decision systems. Requires expertise in scalable ML, content modeling, and cross-functional leadership.
268k – 469k/yr
HybridML Engineering
About the role
What you’ll do
Architect and develop a roadmap and processes for building and delivering signals capturing quality and trust aspects of content at Pinterest.
Drive safety of GenAI and Conversational use cases including safety alignment and VLMs.
Work with downstream teams to align on use cases, evaluate signal impact, and drive adoption of signals in models, ranking systems, and decision-making workflows.
Partner closely with ML engineers to translate ideas into production-ready signals, from problem formulation and feature design to validation and deployment.
What we’re looking for
Experience driving technical strategy at an organizational level.
Expertise in content modeling at consumer internet scale.
Using GenAI for scaling ML development.
Strong ability to work cross-functionally and with partner engineering teams.
Experience working with multiple stakeholders.
Strong measurement and scalability experience.
Strong ML knowledge and expertise.
Hands-on experience with big data technologies (e.g., Hadoop, Spark, Kafka, Flink) is a plus.
Machine Learning at scale deployment experience (note this is different from having ML theoretical knowledge, which is a nice to have).
Thought Leadership: Publication and/or conference speaking experience is a plus.
Nice to have:
Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.
Skills
Machine LearningGenerative AIContent ModelingVlmsSparkHadoopKafkaFlinkLLMsBig Data
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