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PinterestPinterestSan Francisco, CA

Sr. Staff Machine Learning Engineer, Content Quality

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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