Top Tech Jobs & Startup Jobs in Seattle, WA

As a Machine Learning Intern, you will develop features using ML techniques in computer vision and generative AI, collaborate with teams, and conduct research that impacts product development.

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.