Top Tech Jobs & Startup Jobs in Seattle, WA

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.

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.

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.

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

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.