Jobs at Pinterest

Leads strategic partnerships with major financial services clients, driving revenue growth, pipeline, renewals, product adoption, and measurable business impact. Builds executive relationships across agencies and direct clients, develops full-funnel media strategies, translates performance insights into investment recommendations, and coordinates cross-functional teams to solve commercial, technical, creative, and measurement challenges.

Software engineering interns will complete scoped technical projects, build and test production-oriented code, contribute to Pinterest products and infrastructure, and collaborate with engineering, product, design, data, and mentors. Interns will develop professional skills, use AI responsibly in software development, participate in learning opportunities, and contribute ideas while gaining experience with large-scale systems.

Machine Learning Interns will own scoped ML projects from problem definition through experimentation, implementation, testing, and communication. They will develop and evaluate models for discovery, advertising, and search using techniques such as NLP and graph-based modeling; analyze data; contribute to applied AI research; write maintainable code; and collaborate with engineering, product, and data teams.

Develop quantitative models, statistical analyses, experimentation frameworks, and scalable data pipelines to solve product and business challenges. Partner cross-functionally with product, engineering, design, research, and analytics teams to generate actionable insights, improve products, and establish scientific best practices. Apply AI to accelerate workflows while validating AI-assisted outputs and protecting sensitive data.

Leads and develops a specialized iOS engineering team responsible for platform modernization, technical vision, roadmap execution, stability, performance, dependency currency, and developer productivity. Partners with product and engineering stakeholders to prioritize work, manage delivery, and improve client reliability and quality. Hires, coaches, and grows engineers while establishing planning and operating rhythms. Uses AI to accelerate engineering workflows while validating results and maintaining code quality, security, and reliability.

Lead and grow Pinterest’s Android Modernization engineering team in Toronto. Set technical vision and roadmaps, modernize Android platforms and architectures, improve stability and performance, establish planning and delivery rhythms, hire and develop engineers, and collaborate with product and platform teams. The role also uses AI to accelerate engineering workflows while maintaining code quality, security, reliability, and accountability for outcomes.

Lead the API engineering team to build and maintain highly available backend services for Pinterest clients. Provide technical direction, architect solutions with stakeholders, manage priorities and delivery, mentor engineers, ensure production readiness, and hire to grow the team.

As a Machine Learning Engineer II, you will build advanced ML models and systems, collaborate with teams, and improve personalized experiences on Pinterest.

Design and deploy large-scale recommender and personalization systems using modern deep learning and ML techniques. Build end-to-end data pipelines and collaborate across product teams to experiment, evaluate, and improve retrieval and ranking models for shopping and other surfaces.

Build full‑stack Pinner‑facing features, lead product development from ideation through release, partner with design/product/backend teams, prototype and run A/B tests, employ automated testing, and architect scalable solutions used by millions.

Design, implement, and release scalable iOS features and frameworks working with product, design, and backend teams. Prototype, run A/B tests, apply automated testing, and use AI responsibly to speed workflows while ensuring quality, data protection, and maintainability for millions of users.

Design, architect, and ship full‑stack monetization and ad-creation UI features. Build scalable React/TypeScript frontends, integrate with GraphQL/REST backends, run prototypes/A-B tests, ensure automated testing and code quality, and collaborate with product, design, and backend teams.