Sr. Staff Machine Learning Engineer, Content Quality

About the role

Multitudes of individuals worldwide visit our platform to seek creative inspirations, envision new possibilities, and plan memorable events. At Pinterest, we aim to empower everyone to create a life they cherish, and this begins with the people who craft our products. Join us to ignite innovation, transform passions into growth opportunities, celebrate diverse experiences, and enjoy flexible work environments. Discover a career where your creativity can make a significant impact.

Responsibilities

• Arcitect 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.

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.
• Bachelor’s/Master’s degree in a relevant field such as computer science, or equivalent experience.
• Hands-on experience with big data technologies (e.g., Hadoop / Spark / Kafka / Flink).
• Machine Learning at scale deployment experience.
• Thought Leadership: Publication and/or conference speaking experience is a plus.
• Bachelor’s degree in a relevant field such as Computer Science or equivalent experience.
• 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.

Qualifications

• 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.
• Bachelor’s/Master’s degree in a relevant field such as computer science, or equivalent experience.
• Hands-on experience with big data technologies (e.g., Hadoop / Spark / Kafka / Flink).
• Machine Learning at scale deployment experience.
• Thought Leadership: Publication and/or conference speaking experience is a plus.
• Bachelor’s degree in a relevant field such as Computer Science or equivalent experience.
• 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

• 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.
• Bachelor’s/Master’s degree in a relevant field such as computer science, or equivalent experience.
• Hands-on experience with big data technologies (e.g., Hadoop / Spark / Kafka / Flink).
• Machine Learning at scale deployment experience.
• Thought Leadership: Publication and/or conference speaking experience is a plus.
• Bachelor’s degree in a relevant field such as Computer Science or equivalent experience.
• 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.

Benefits

We offer a comprehensive benefits package including health insurance, retirement plans, and paid time off. Our commitment to diversity, equity, and inclusion ensures a welcoming environment for all employees.

Pay

$268,084—$469,147 USD

Schedule

Our working model allows for flexibility, whether you prefer to work remotely or in-office. Please refer to our PinFlex page for more details.