Top Tech Jobs & Startup Jobs in Seattle, WA

Build and lead full-stack and backend monetization features for Pinterest, from ideation and prototyping through implementation, testing, scaling, and release. Partner with product managers, designers, and engineers to develop reliable consumer-facing experiences, run A/B tests, architect scalable solutions, and contribute product ideas serving millions of users.

Own the vision, roadmap, requirements, and delivery of Pinterest’s ads quality ranking and optimization capabilities. Partner with engineering, machine learning, data science, design, research, marketing, sales, and policy teams to improve ad retrieval, ranking, bidding, pacing, measurement, and marketplace outcomes. Define experiments, guardrails, success metrics, and launch plans while balancing advertiser value with a safe, relevant Pinner experience.

Build full-stack, backend, and consumer-facing monetization features for Pinterest. Lead product development from ideation and prototyping through A/B testing, technical design, implementation, and release. Collaborate with product, design, and engineering teams; develop scalable systems for millions of users; apply automated testing; maintain reliable code; and propose innovative product ideas.

Conduct cutting-edge machine learning and AI research applied to Pinterest products. Interns lead projects, develop and evaluate production ML systems, work across algorithms, data engineering, infrastructure, training, inference, and product integration, and write sustainable code. They will use AI-assisted development tools, validate generated outputs for correctness and security, investigate bugs, collaborate with researchers and engineers, and communicate solutions to open-ended technical problems.

Data Science interns will use quantitative analysis, statistical modeling, data mining, experimentation, and exploratory analysis to understand user behavior, identify product opportunities, and develop actionable insights. They will design metrics, evaluate A/B tests, explore experimentation methods, analyze user and advertiser preferences, and collaborate with product, engineering, design, and research teams to influence Pinterest’s product roadmap.

Conduct machine learning and AI research applied to Pinterest problems. Build and improve large-scale production ML systems spanning algorithms, infrastructure, data engineering, training, inference, and product integration. Develop clean code, validate AI-generated outputs, use AI-assisted engineering tools, investigate bugs, and independently deliver projects while collaborating with engineering and research teams.

Data Science interns will use exploratory analysis, statistical techniques, modeling, data mining, and experimentation to understand user behavior, develop product metrics, evaluate A/B tests, and identify product opportunities. They will collaborate with product managers, engineers, designers, and researchers, translating analytical insights into product improvements and business impact while thoughtfully using and validating AI-assisted approaches.

Leads Pinterest’s advertiser measurement and signal-quality engineering organization, defining multi-year strategy across machine learning, data platforms, experimentation, privacy, and reliability. Manages managers and senior technical leaders, partners with product and cross-functional teams, drives scalable solutions for advertiser challenges, improves model quality and data integrity, establishes governance mechanisms, communicates with executives, and builds an inclusive high-performing organization.

Design and develop machine learning algorithms for target ROAS, automatic bidding, and ads pacing. Explore bid landscapes, optimize advertiser value and revenue, conduct A/B experiments, and collaborate with product, sales, and engineering teams on new ad products and bidding strategies. Provide staff-level technical leadership, drive cross-team alignment, and use AI-assisted development and productivity tools to improve engineering workflows.

Leads the technical vision and execution of Pinterest’s large-scale indexing and retrieval infrastructure across Core, Ads, and Shopping. Drives architecture modernization, real-time and incremental retrieval, shared platform capabilities, metrics, debugging workflows, and improvements in relevance, freshness, reliability, coverage, and cost. Partners across engineering, product, ML, and infrastructure organizations, mentors senior technical staff, and validates AI-assisted engineering work with strong attention to correctness, privacy, safety, and operational excellence.