Sr. Staff Machine Learning Engineer, Content Quality

Pinterest•San Francisco, CA

15h•Hybrid

About The Position

At Pinterest, AI is a powerful partner that augments creativity and amplifies impact. We are looking for candidates excited to be part of this. This role is for a Sr. Staff Machine Learning Engineer to be the Technical Lead for Content Quality. The individual will build the overall technical strategy, unified technical architecture, and define a roadmap for industry-leading methodology. The role requires a strong hands-on machine learning background, including content modeling, signal lifecycle, and platforms used to enforce signal use with downstream use cases. The engineer will work with other leads to set and execute a long-term strategy for the team, aligning it with other clients where appropriate, and communicating current status and the path to world-class capabilities to leadership. Additionally, the role involves fostering a healthy community where Content Quality engineers can learn best practices, collaborate effectively, and understand the 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.
Thought Leadership: 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.