Pinterest is looking to solve the problem of bias in machine learning algorithms and ensure that their product is fair, equitable, and inspirational for all users.
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.
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
Demonstrated track record in shaping and executing large-scale technical roadmaps, balancing immediate needs with long-term vision, defining clear OKRs, and orchestrating cross-functional efforts to deliver production-grade solutions that significantly enhance user experiences.
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 (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.
Other
Masters or PhD in Comp Sci or related fields
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.
US based applicants only
Relocation assistance is not available for this position.
