Top Tech Jobs & Startup Jobs in Seattle, WA

Lead the strategy, technical direction, and long-term roadmap for Pinterest’s big data and AI infrastructure. Build and scale frameworks for compute, job management, resource management, scheduling, and remote shuffling across petabyte-scale datasets. Partner with internal customers on critical big data use cases and provide company-wide technical leadership on reliable, efficient data processing and storage.

Lead and coach an engineering team building high-scale configuration distribution and service coordination infrastructure. Set strategy, align stakeholders, create roadmaps, mitigate risks, improve developer experience, and drive best practices in CI/CD, feature flags, and configuration management. Support team growth and use AI for planning, research, documentation, reporting, and workflow automation while verifying quality through testing and review.

Lead Pinterest’s AI Foundations and Proactive Experiences engineering organization. Define technical and organizational strategy across foundation models, LLM systems, personalization, agentic workflows, orchestration, and user-facing AI. Build teams and leadership capacity, drive multi-year roadmaps, partner cross-functionally on product strategy, and deliver reliable, secure, privacy-conscious, cost-efficient AI capabilities at scale.

Lead data-driven strategy for Pinterest Ads by translating business needs into analytical solutions, ensuring data quality, connecting product and financial performance, advising cross-functional leaders, and elevating data science practices across the organization.

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.

Lead a hybrid team of ML and backend engineers to build end-to-end identity and conversion visibility systems. Define technical strategy, drive execution for modeling, data pipelines, serving, and operational excellence, and partner cross-functionally with product, data science, and ads teams to deliver privacy-preserving conversion measurement and infrastructure.

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.