This internship focuses on developing and launching new user features using ML techniques, particularly in computer vision, generative AI, and responsible AI, within Pinterest's Advance Technology Group (ATG). The role involves hands-on experience with production ML systems, from research to inference and product deployment, leveraging frontier AI tools and agents. Interns will validate AI outputs, contribute to research, write production code, and take ownership of tasks, with a specific focus on Visual Search, Generative AI, and LLMs.

Principal Engineer role focused on building the foundational platform and capabilities for AI agents to operate within Pinterest's software development lifecycle. This includes architecting agent runtimes, memory systems, orchestration frameworks, evaluation pipelines, and governance models to enable 3,000+ engineers to build alongside AI agents safely and at scale. The role involves shipping production systems, owning developer velocity measurement, and serving as a technical advisor to leadership.

Sr. Staff Machine Learning Engineer, Content Quality at Pinterest. This role involves architecting and developing signals for content quality and trust, driving safety for GenAI and conversational use cases, and partnering with ML engineers to deploy production-ready signals. The role also requires aligning with downstream teams on use cases and signal adoption, and working cross-functionally to set and execute long-term strategy. Experience with big data technologies and ML at scale deployment is a plus.

Manager II, Machine Learning Engineering for Homefeed Retrieval Modeling at Pinterest. This role involves leading a team of 8-9 ML engineers to set strategy, architecture, and roadmap for ML-based solutions in Homefeed retrieval. Responsibilities include owning retrieval sources, ML optimization engines, signal development, and forward-looking investments like generative retrieval. The role requires deep expertise in large-scale production recommender systems and leadership experience.

Engineering Manager for Pinterest's Agent Foundations team, responsible for architecting, scaling, and leading the development of foundational agent platform systems including serving, evaluation, and monitoring. The role involves technical leadership, team management, and partnering with product and research to define the future of agent experiences at Pinterest.

Staff Software Engineer to lead the backend architecture and implementation of a GenAI-powered Conversion Health agent. The role involves designing and implementing services, data flows, and retrieval layers for agents to reason over conversion data, evolving existing GenAI applications with prompt hardening, retrieval quality improvements, and evaluation/safety checks. It also includes designing connections with downstream ads products, structuring the measurement context layer into AI-consumable signals, and partnering with various teams to translate measurement pain points into agent skills. The role emphasizes leading an evolving GenAI culture, navigating ambiguity, codifying guardrails, and driving engineering velocity and measurement quality.

Senior Software Engineer role focused on building simulation environments and AI-driven tools for the CTV advertising ecosystem. The role involves designing systems to model auction dynamics, bidding strategies, and campaign outcomes, and developing AI agents to automate experimentation and de-risk ML model deployments. Experience with modern AI tools, probabilistic modeling, and adtech is required.

Senior Product Manager for Enforcement Systems at Pinterest, owning product strategy for infrastructure that detects, reviews, and acts on unsafe content. Leads development of AI-native automation frameworks using LLMs and VLMs for enforcement decisioning, ensuring accuracy against policy intent. Drives a platform expanding beyond Trust & Safety into other company domains.

Staff Technical Program Manager for ML/AI Platform at Pinterest, focusing on leading strategic programs for ML/AI Platform, GenAI infrastructure, and Agent Platform. The role emphasizes an AI-First Execution Mindset, using GenAI for program execution, prototyping AI-augmented tools, applying AI governance, and driving complex technical decisions. The TPM will translate strategy into execution, shape roadmaps, build scalable processes, and ensure cross-functional alignment.

This role focuses on building production-grade GenAI-enabled analytics solutions by integrating enterprise data sources and establishing LLM pipelines with evaluation, observability, and guardrails. It involves designing data models, developing data pipelines, writing SQL, and defining best practices for GenAI in analytics engineering.

This role focuses on embedding AI-native engineering within business functions (Marketing, Finance, Sales, HR, Legal) to identify and build AI-powered automation tools. The engineer will work end-to-end, from discovery and scoping to prototyping, launch, and iteration, utilizing agentic frameworks, tool-calling, and responsible AI practices. The role requires strong software engineering skills, hands-on experience shipping AI solutions, understanding of agentic AI systems, system design, data/security judgment, business acumen, and clear communication.

This role focuses on designing conversational experiences for a multi-agent AI-powered business assistant on Pinterest, targeting merchants and advertisers. The designer will lead strategy, improve prompt management, and collaborate with cross-functional teams to create cohesive AI-driven user experiences for business products.

Software Engineer to build simulation and AI capabilities for a CTV advertising platform. The role involves designing and implementing systems to model the CTV advertising ecosystem, developing AI-driven tools to accelerate ML system development, and using simulation to de-risk ML model deployments. The engineer will also define technical direction and mentor others.

Engineering Manager to lead a mobile and backend team focused on verticalized shopping experiences, leveraging generative AI to transform user inspiration into actionable, shoppable moments. The role involves owning the technical roadmap, driving an experiment-led culture, and building the necessary AI systems (harness, context, retrieval, prompt orchestration, evaluation, guardrails) for production-ready LLM applications. The focus is on integrating AI-driven personalization and recommendation systems to improve conversion rates and user satisfaction.