Jobs at Pinterest

Lead technical vision for Ads Advanced Conversion Modeling team, developing ML systems, coach engineers, and collaborate with product and sales teams.

Lead the design and production of ML systems for Pinterest's ads measurement products. Collaborate with various teams to improve measurement quality and contribute to technical direction and best practices.

Design and implement ML algorithms for bidding and ranking systems in ads. Own complete ML systems from conceptualization to production. Collaborate with teams to integrate models and enhance advertising value using AI.

As a Backend Engineer at Pinterest, you will build and enhance Pinner-facing features, collaborate with teams, and utilize AI to improve product development processes.

The role focuses on improving Pinterest's conversion measurement architecture using AI, collaborating with various teams to shape measurement strategies and capabilities.

As a PhD Fall Machine Learning Intern at Pinterest, you will develop user features, conduct research in AI and ML, and gain experience in production ML systems while collaborating on recommendation systems and computer vision projects.

Lead architecture and implementation of AI/ML production systems for Growth: APIs, data pipelines, evaluation and monitoring. Partner with ML/research teams to productize models, build cross-team foundations (eval, content quality, agent platforms), manage latency/cost/quality tradeoffs, ship at scale, and mentor engineers as a peer Staff IC.

Build and lead a Revenue Technology function embedded in the Global Business Organization: recruit cross-functional teams, architect partner integrations, deploy applied AI to automate GTM workflows, prototype new revenue products, and act as technical executive liaison to drive revenue outcomes.

Design, implement, and optimize Pinterest's batch processing infrastructure using large-scale open-source big data technologies. Collaborate with cross-functional teams to meet data needs, lead technical projects, mentor junior engineers, and ensure reliability, scalability, and efficiency of data systems handling petabyte-scale workloads.

Lead backend architecture and implementation of a GenAI-powered Conversion Health agent: design services, data flows, retrieval layers, and AI-consumable measurement signals. Improve agent reliability, evaluation, and safety; integrate with downstream ads products and tools; partner cross-functionally to translate measurement pain points into actionable agent skills and demonstrate measurable ad performance impact.

The Machine Learning Engineer will develop and improve ML models for product surfaces, build data processing pipelines, and leverage machine learning technologies in advertisements.

The role involves building ML systems, improving models across product surfaces, and leveraging data for personalization and user engagement.

As a Senior Data Scientist in Monetization, you'll lead data product development, conduct strategic analysis, build models, track success metrics, and mentor junior data scientists.

Develop and improve machine learning models for Pinterest's various product surfaces, utilizing deep learning and advanced data processing.

Develop and execute ML technology stack vision for Ads, improve ML models, and enhance content understanding using LLMs in a collaborative environment.

The role involves building backend systems, collaborating with teams, contributing to product development from design to release, and maintaining large-scale distributed systems.

Lead measurement strategies for retail clients, guiding teams in complex analytics, developing AI workflows, and enhancing advertising measurement approaches at Pinterest.

The Measurement Partner II will manage strategic advertiser relationships in the retail sector, apply measurement techniques, and communicate findings using AI tools for actionable insights.

The Lead Product Marketing Manager will drive go-to-market strategies, create product messaging, conduct market analysis, and support sales efforts for advertising measurement solutions.

Lead the design of new digital products, advocate for rapid experimentation, mentor peers, and collaborate across teams to create innovative user experiences.