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. 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. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. Relocation Statement: • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-HYBRID #LI-AK7 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $268,084-$469,147 USD