Sr. Staff Machine Learning Engineer, Content Quality

PinterestSan Francisco, CA
Hybrid

About The Position

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. We are looking for a Sr. Staff Machine Learning Engineer to be the Technical Lead for the Content Quality who will build the overall technical strategy, unified technical architecture and define a roadmap for industry leading methodology. We are seeking strong hands on machine learning background including content modeling, signal lifecycle, and platforms used to enforce signal use with downstream use cases. You’ll be working with other leads to set and execute a long-term strategy for the team, aligning the strategy with other clients where it makes sense and communicating to leadership our current status and path to having world-class capabilities. You'll also foster a healthy community where all Content Quality engineers can learn best practices, collaborate effectively and understand our technical direction.

Requirements

  • 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.
  • Machine Learning at scale deployment experience

Nice To Haves

  • Hands-on experience with big data technologies (e.g., Hadoop / Spark / Kafka / Flink) is a plus.
  • Publication and/or conference speaking experience is a plus.
  • 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.

Responsibilities

  • 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.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service