Machine Learning Engineer II, Responsible AI

Pinterest is a platform that helps people discover creative ideas and plan for meaningful experiences. The Machine Learning Engineer II, Responsible AI will develop and apply advanced machine learning methods to identify, prevent, and mitigate bias, evaluate generative AI systems, and advance fairness and responsible AI practices across the company.

Responsibilities:

• Execute on projects in the responsible AI frontier, to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest including generative AI
• Collaborate with other engineering teams (trust and safety, user modeling, content understanding,) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest
• Mentor junior engineers on the Responsible AI team and across the company on the R-AI space
• Work with the team and senior leaders at the company to define and drive technical strategy in this area

Requirements:

• Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology - spanning fairness, ethics, and broader societal considerations
• Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs) and their applications in large-scale Search and Recommender Systems
• Proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale, bridging state-of-the-art research with tangible product impact
• 2+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• Masters or PhD in Comp Sci or related fields
• Publications at top ML conferences
• 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
• Expertise in scalable realtime systems that process stream data
• Passion for applied research and the Pinterest product