Description
We're looking for a Sr. Staff Machine Learning Engineer to lead the technical strategy for Content Quality. You'll build the overall technical strategy, unified technical architecture, and define a roadmap for industry-leading methodology.
You'll work with other leads to set and execute a long-term strategy, align with other clients, and communicate to leadership. You'll foster a healthy community where Content Quality engineers can learn best practices, collaborate effectively, and understand our technical direction.
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.
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.
- Hands-on experience with big data technologies (e.g., Hadoop / Spark / Kafka / Flink) is a plus.
- Machine Learning at scale deployment experience.
- Thought Leadership: Publication and/or conference speaking experience is a plus.
Nice to have:
- Experience using Cursor, Copilot, Codex, or similar AI coding assistants.
- Familiarity with LLM-powered productivity tools.
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.
Salary Range: $268,084-$469,147 USD