Pinterest is looking to solve the problem of ensuring fairness, ethics, and broader societal considerations in its machine learning applications.
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.
Deep expertise in designing and scaling backend and ML systems for high-traffic, user-facing products, with a full-stack understanding of system architecture, data pipelines, and model deployment workflows.
Proven success in collaborating with engineering teams to deploy ML capabilities that improve fairness and reduce bias in recommendation, content understanding, and ranking systems at scale.
Responsibilities
Lead 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 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.
Other
5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
2+ years experience leading cross-team engineering efforts.
Masters or PhD in Comp Sci or related fields
US based applicants only
Relocation Statement: This position is not eligible for relocation assistance.
