Pinterest currently has 57 active job listings related to artificial intelligence. The majority of these roles are in the application stage, accounting for 46% of the total, followed by agent-related positions at 39%. Engineering is the most frequent function for these hires, and the United States is the primary hiring country. The company is frequently seeking candidates with experience in recommender systems, agent orchestration, and model serving. Over the last 30 days, Pinterest has posted 14 new AI roles, representing a 46% decrease compared to the previous 30-day period.
Currently tracking 37 active AI roles, up 10% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $124k–$485k (avg $266k).
Pinterest currently has 53 active AI-related roles in our index. The most common open titles are: AI Solutions Engineer, Data Scientist, Director, Machine Learning Engineering – Content & User Understanding, Engineering Manager I, Growth AI, Engineering Manager, Developer Agents. Most positions are in Engineering and Product.
Pinterest's active AI hiring is concentrated in: application (45%), agents (42%), data (6%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Pinterest is hiring AI talent in: United States (49 roles), Ireland (2 roles), Canada (2 roles).
Job postings at Pinterest most frequently reference: recommender systems, agent orchestration, search ranking, model serving, llm observability.
In the past 30 days, Pinterest has posted 14 new AI-related roles. That is a -33% change versus the prior 30 days (21 → 14).
| Title | Stage | AI score |
|---|---|---|
| Director, Machine Learning Engineering – Content & User Understanding Director of Machine Learning Engineering to lead the Content and User Understanding team at Pinterest. This leader will define the long-term ML / AI vision, technical strategy and drive execution for building the company-wide content and user understanding ML models and systems that power Pinterest’s critical product surfaces across homefeed, related, search, shopping, growth and ads. Oversees multiple teams of machine learning and backend engineers and managers, driving state of art innovation in VLM and LLM-based approaches. | Ship | 9 |
| Master's Fall Machine Learning Internship (ATG - Visual Search) 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. |
| AgentServe |
| 9 |
| Staff Machine Learning Engineer Staff Machine Learning Engineer focused on Agentic AI & Recommendations for advertiser and seller experiences. Will lead ML strategy and execution for intelligence layers, building recommendation systems, context foundations, and feedback loops for AI agents. Requires deep recommendation systems expertise combined with modern agentic AI to shape advertiser and seller workflows. | AgentServe | 8 |
| Sr. Staff Machine Learning Engineer, Content Quality 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. | AgentServe | 8 |
| PhD Fall Machine Learning Intern (ATG — Visual, Multimodal, and Recommender Systems) PhD Machine Learning Intern role focused on developing and launching new user features using ML techniques in recommendation systems, computer vision, generative AI, and responsible AI. The role involves research, production ML systems, and leveraging frontier AI tools, with potential for paper submissions or deploying features to millions of users. | ShipPost-train | 8 |
| Sr. Machine Learning Engineer, Responsible AI– Applied Research Science Sr. Machine Learning Engineer focused on Responsible AI, working on bias identification and mitigation, Gen AI alignment, safety fine-tuning, and Red Teaming. Collaborates with other teams to adopt Responsible AI practices and tooling, mentors junior engineers, and defines technical strategy. Requires experience in applying advanced ML methods to production systems, particularly in responsible technology, and familiarity with LLMs/VLMs in large-scale systems. | Post-trainAgent | 8 |
| Manager II, Machine Learning Engineering-Homefeed 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. | AgentData | 8 |
| Engineering Manager I, Growth AI Engineering Manager I on Pinterest’s Growth AI Products team, leading a group of engineers building AI-led products and capabilities that drive top-of-funnel growth. The role involves shipping user-facing experiences and AI-powered content representation improvements, partnering closely with product, design, analytics and ML teams. Responsibilities include owning the team's roadmap, driving AI-led innovations, establishing launch readiness standards for AI-powered features, and improving team operating cadence using AI. | Ship | 8 |
| Staff Product Manager, AI Safety Staff Product Manager for GenAI Safety team, responsible for defining and driving product strategy for ensuring Pinterest's GenAI-powered systems are safe, fair, and trustworthy. This involves building proactive safety frameworks, partnering with engineering, policy, data science, and design to protect users, anticipating novel harms, red-teaming AI features, and translating policy into product requirements and model guardrails. The role also involves defining and tracking quantitative safety metrics, developing incident response plans, and anticipating emerging risks from new AI capabilities. | Eval GateAgent | 8 |
| Engineering Manager, Developer Agents 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. | AgentEval Gate | 8 |
| Staff Software Engineer, Ads Measurement Signal 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. | Agent | 8 |
| Staff Technical Program Manager ML/AI Platform Staff Technical Program Manager focusing on cross-engineering special projects to identify, scope, champion, and land key strategic projects important to advancing Pinterest’s platform and underpinning, with a strong emphasis on ML/AI Platform, GenAI infrastructure, and Agent Platform. The role involves using GenAI as the default operating model for program execution, prototyping AI-augmented tools, applying safety-by-design AI governance, driving complex technical decisions, translating strategy into execution, shaping planning and influencing roadmaps, building scalable processes, driving cross-functional alignment, and owning program outcomes end-to-end. | Agent | 7 |
| Staff Product Manager, Model Lifecycle & Management Product Manager for ML Lifecycle & Management focusing on the ML platform for training, evaluating, deploying, and measuring content safety models. Owns product strategy for ML Signal Management, aiming to make ML signals first-class entities with unified metadata and identity across systems. Partners with ML engineering, data science, and content safety teams to drive platform scope expansion. | Eval GatePost-train | 7 |
| Sr. Staff Machine Learning Engineer, Content Ecosystem Sr. Staff ML Engineer at Pinterest focused on improving the content ecosystem through ML strategy, measurement frameworks, and optimization approaches. The role involves building models to identify content gaps, understanding content success factors, and optimizing marketplace mechanisms for long-term ecosystem value. It requires technical leadership, rigorous ML thinking, and experience with multi-objective optimization and marketplace dynamics. | Ship | 7 |
| Staff Machine Learning Engineer, Ads Conversion Staff Machine Learning Engineer focused on Ads Conversion at Pinterest. The role involves leading technical direction, designing and building large-scale DNN models for user action prediction, and leveraging AI for analysis and workflow acceleration. Experience with production ML systems, leading technical projects, and AI coding assistants is required. | Ship | 7 |
| Staff Machine Learning Engineer, Programmatic Ads Staff Machine Learning Engineer for Programmatic Ads at Pinterest, focusing on developing core bidding and ranking systems. The role involves designing and implementing algorithms for real-time bidding, ad scoring, inventory selection, and yield optimization, owning end-to-end ML systems, and integrating new signals. The position emphasizes using AI to accelerate analysis and experimentation, with a requirement for experience in large-scale production ML systems in ads, search, or recommendations. | AgentServe | 7 |
| Sr. Software Engineer, Simulation, tvScientific 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. | AgentServe | 7 |
| Sr. Product Manager, Enforcement Systems 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. | Agent | 7 |
| Sr. Staff Product Manager, Merchants Product Manager for AI/ML solutions focused on merchant presence and shopping experiences on Pinterest, utilizing LLMs to identify and surface relevant merchants, aiming to increase Pinner discovery of new brands and help merchants build diverse audiences. The role involves defining, designing, and launching AI/ML-powered experiences, partnering cross-functionally, setting product vision, and identifying opportunities to advance personalization. | Ship | 7 |
| Sr. Data Scientist, Gen AI Automation 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. | AgentData | 7 |
| AI Solutions Engineer 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. | Agent | 7 |
| Sr. Software Engineer, ML Platform, tvScientific ML Platform Engineer to join a team at the intersection of sysops, systems programming, architecture, and large-scale deployments. The platform underpins a real-time bidding agent and ML training system that drive $100M+ in annual revenue. Focus on building a Kubernetes + Ray backend for model training pipelines, and defining the next generation of the training and serving stack. | ServePost-train | 7 |
| Software Engineer II, Simulation, tvScientific 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. | AgentServe | 7 |
| Staff Machine Learning Engineer, Ads Measurement Products Staff Data Scientist role focused on ad measurement products at Pinterest. The role involves designing and implementing causal inference methods, applying AI/ML techniques to enhance measurement scale and quality, ensuring scientific rigor, influencing product roadmaps with AI-powered solutions, and collaborating with external partners. The position requires technical leadership, mentorship, and strong communication skills, with a focus on turning ambiguous questions into actionable analyses and driving decisions that balance scientific rigor with business value. | Ship | 7 |
| Manager II, Machine Learning-Search Manager II, Machine Learning-Search at Pinterest, leading a team responsible for major areas of the search engine, including indexing, ranking, query understanding, personalization, ML-based retrieval, shopping, videos, and infrastructure efficiency. The role involves innovative applications of NLP and Vision Models for query recommendations, multimodal search, agentic search, and query-based module generation. Requires experience leading large-scale production ML systems and applied ML experience. | ShipAgent | 7 |
| Staff Product Manager, AI/ML Personalization Product Manager for AI/ML Personalization at Pinterest, focusing on driving the future of personalized experiences on the platform. This role involves defining, designing, and launching AI/ML-powered features for user discovery, curation, and shopping, partnering with Engineering, Data Science, and Design to deliver impactful products on high-traffic surfaces. | Ship | 7 |
| Staff Data Scientist, Engagement Ecosystem Staff Data Scientist at Pinterest focused on the Engagement Ecosystem. The role involves developing and productionizing ML frameworks for forecasting, recommendation, and causal inference, applying advanced ML and generative AI techniques to model complex interactions, and championing responsible AI use. Requires expertise in ML, causal inference, experimentation, and large-scale data environments, with a track record of influencing product decisions and mentoring junior scientists. | Ship | 7 |
| Manager II, Machine Learning Engineering, Core Engineering Manager II, Machine Learning Engineering for Core Engineering at Pinterest, focusing on search and recommendations for over 500 million users. The role involves leading a team of ML engineers, driving technical direction, strategic planning, and execution for large-scale, low-latency systems and state-of-the-art ML models that deliver significant impact to pinners and business metrics. | ShipServe | 7 |
| Sr. Machine Learning Engineer, Core Engineering Machine Learning Engineer at Pinterest focused on building and improving ML models for various product surfaces like Homefeed, Ads, Growth, Shopping, and Search. The role involves using data-driven methods to enhance candidate retrieval and working with large-scale recommendation systems. | Ship | 7 |
| Machine Learning Engineer, Core Engineering Machine Learning Engineer at Pinterest focused on building and improving ML models for various product surfaces like Homefeed, Ads, Growth, Shopping, and Search, leveraging deep learning and large-scale data to personalize user experiences. | Ship | 7 |
| Machine Learning Engineer, Monetization Engineering Machine Learning Engineer focused on Monetization at Pinterest, building and improving ML models for various product surfaces like Homefeed, Ads, Growth, Shopping, and Search. The role involves developing cutting-edge deep learning and ML technology for personalization, leveraging data for candidate retrieval, and enhancing content understanding with LLMs. Experience with large-scale recommender systems, ads ranking, and big data technologies is required. | Ship | 7 |
| Sr. Machine Learning Engineer, Monetization Engineering Machine Learning Engineer focused on personalization and monetization within the consumer domain, specifically for Pinterest's ad platform. The role involves building and improving ML models for various product surfaces, leveraging data for candidate retrieval, and enhancing content understanding with LLMs. It requires end-to-end experience with ML systems and a practical understanding of recommender systems or ad ranking. | ShipAgent | 7 |
| Sr. Communications Lead, Internal Communications This role is for a Senior Communications Lead, Internal Communications at Pinterest. The primary focus is on leading internal communications strategy for the global sales organization, counseling senior leaders, and drafting various communication materials. A key aspect of the role involves using AI to enhance communication outputs, with a strong emphasis on validating AI-generated content for accuracy and quality. The role is product-focused within the consumer domain, and the company views AI as a mature partner. | — | 5 |
| Product Designer II, Design Innovation Product Designer II on the Design Innovation team at Pinterest. This role focuses on evolving the product design language, crafting intuitive experiences, and exploring new opportunities for innovation, including AI-powered experiences. The designer will use AI tools to accelerate their workflow while maintaining critical thinking and ownership. They will collaborate with cross-functional partners, incorporate insights from research and AI trends, and contribute to design reviews. | — | 5 |
| Product Designer II, Pinner Actionability Product Designer II for Pinterest's Pinner Actionability team, focusing on transforming the 'boards' feature. The role involves designing and shipping UI for key user flows, collaborating with cross-functional partners, and working in an experimental, data-driven environment. A key aspect is leveraging emerging AI tools and workflows to enhance the product development process and scale design approaches, ultimately shipping high-quality digital products. The role emphasizes product thinking, UX strategy, and problem-solving within a consumer product context. | — | 5 |
| Sr. Technical Support Engineer This role is for a Sr. Technical Support Engineer at Pinterest, focusing on supporting Tier 1 clients and Enterprise Advertisers. The engineer will be an expert in Pinterest's API and business products, leading technical relationships, providing support, and driving complex technical projects. A key aspect is leading AI-driven solutions and automations to scale support and operations, and leveraging AI to enhance work quality. The role requires experience with API integrations, scripting, and a willingness to champion AI experimentation. | — | 5 |
| Client Account Manager II, Food & Beverage CPG Client Account Manager II for Pinterest's Food & Beverage CPG sector, responsible for driving a book of business, acting as a consultant to key advertisers, and managing upper-funnel awareness ad campaigns. The role involves building strategic partnerships, ensuring data segment implementation, optimizing media campaigns, reporting on performance metrics, and advising clients on ad products and strategies. The role requires experience in digital advertising sales, strong knowledge of ad technologies, and the ability to manage multiple priorities. A key aspect is the willingness to explore and leverage AI tools for productivity improvements in campaign setup, reporting, and client communications. | — | 5 |
| Experiential Manager This role is for an Experiential Manager at Pinterest, responsible for developing and executing end-to-end experiential programs that drive brand comprehension, love, and advocacy. The role involves creative development, managing agencies and budgets, and collaborating with cross-functional partners. While the role leverages AI tools for efficiency, it is not directly building or researching AI models. | — | 5 |
| Sr. Manager, Engineering, Ad Formats This role is for a Sr. Manager, Engineering on the Ad Formats team at Pinterest, focusing on leading the development of a next-generation server-driven UI framework for Ads Personalization and Creation. The role involves managing a team of 15 engineers and making key architectural decisions. While the role requires strong knowledge of AI/ML technologies and using AI to improve workflows, its core function is in building and managing software engineering for ad formats, not in developing core AI models or systems. | — | 5 |
| Staff Software Engineer- Growth Performance Marketing Staff Software Engineer focused on Growth Performance Marketing at Pinterest. This role involves leading the technical roadmap for the performance marketing platform, driving hands-on engineering for ad platform integrations, event pipelines, and production systems. Key responsibilities include designing and evolving the measurement stack (attribution models, incrementality), developing systems for automated bidding and campaign experimentation, owning system reliability, and collaborating with marketing, data science, and product partners. The role also requires mentoring engineers and using AI to accelerate personal work. While the company emphasizes AI's role, this specific position is primarily focused on engineering backend systems for performance marketing, with a requirement for familiarity with ML infrastructure and using AI tools for personal productivity. | — | 5 |
| Staff Software Engineer, Capacity Engineering Staff Software Engineer, Capacity Engineering role focused on improving the efficiency and performance of large-scale cloud-native infrastructure, including Kubernetes and distributed systems. The role involves building optimization capabilities and collaborating with Infrastructure Engineering and SRE teams. A key aspect is leveraging AI to accelerate performance investigations, build self-serve tooling, and iterate on optimization approaches, while also critically evaluating AI-assisted work. | — | 5 |
| Measurement Lead Lead measurement strategy and operations for a team of measurement partners, focusing on driving performance for advertisers and influencing ads and measurement solutions strategies. This role involves providing technical support to strategic retail clients, developing advanced analytical solutions, and communicating complex measurement concepts. The role also requires evaluating AI-generated outputs and developing scalable AI analytical workflows. | — | 5 |
| Measurement Partner II This role focuses on demonstrating the effectiveness of Pinterest advertising for large clients, serving as a day-to-day contact for strategic advertiser relationships, and supporting operations through measurement studies and scaling initiatives. The role involves evaluating and refining AI-generated outputs from internal tools, communicating complex results to non-technical audiences, and applying AI to scale test-and-learn agendas. It requires expertise in digital ads measurement, statistical fundamentals, and the ability to synthesize data into actionable insights, using AI-assisted analysis tools like SQL/Python notebooks. | — | 5 |
| Staff Product Owner, Collaboration & Productivity Product Owner for Collaboration & Productivity tools at Pinterest, focusing on defining strategy, roadmap, and AI use cases for internal employee experience. The role involves evaluating and operationalizing AI to enhance digital workplace tools, while ensuring human accountability for AI-assisted work. | — | 5 |
| People Tech Specialist II This role supports People data, programs, and processes with technology solutions, focusing on Workday and other HRIS. It involves analyzing processes, designing solutions, and implementing HRIS technologies. A key aspect is using AI tools to streamline daily support tasks, improve ticket triage, data checks, and troubleshooting, and applying AI to reporting and workflow optimizations. The role requires strong HR Tech experience and project management skills. | — | 5 |
| Sr. People Tech Specialist This role focuses on optimizing HR technology solutions, particularly Workday, and integrating AI-powered solutions to streamline HR operations and improve employee experiences. While the company uses AI and the role involves integrating AI solutions, the core craft is HR technology and process optimization, not building AI models. | — | 5 |
| Software Engineer II, Big Data, tvScientific Software Engineer II, Big Data at Pinterest's tvScientific, focusing on building and scaling robust data infrastructure and pipelines using Spark with Scala in AWS. The role involves designing data solutions, implementing knowledge graphs, and optimizing AWS resources, with collaboration with Data Science and Product teams. While the company emphasizes AI, this role is primarily data engineering focused on supporting AI initiatives. | — | 5 |
| Staff Technical Program Manager, Search Relevance This role is for a Staff Technical Program Manager on the Search team at Pinterest. The TPM will be a thought leader with Product and Engineering, focusing on crafting a seamless search and shopping experience. Key responsibilities include defining and driving ML/AI programs, leading program management for multiple work streams, analyzing data to steer strategy, building expertise in query understanding and search engines, and driving product/business requirements. A significant aspect of the role involves using GenAI as the default operating model for program management execution, including producing AI-assisted drafts, modernizing workflows, and synthesizing signals to surface risks. The TPM will also prototype solutions using AI coding assistants and adhere to Pinterest's AI guidance for risk, governance, and safety. | Agent | 5 |
| Manager II, Engineering Manager II, Engineering role at Pinterest focused on leading a team working on user-facing product areas and supporting systems. The role emphasizes people leadership, strategic planning, technical judgment, and data-driven decision-making, with a requirement to leverage AI tools to enhance work quality and speed while critically evaluating AI-assisted outputs. | — | 5 |
| Staff Software Engineer, Observability Staff Software Engineer, Observability at Pinterest. This role focuses on designing and building world-class observability solutions (metrics, logs, traces) for large-scale distributed systems. It requires deep technical expertise in distributed systems, data engineering, and a product-oriented mindset to empower the engineering organization. The role involves defining roadmaps, architecting infrastructure, building data pipelines, championing best practices, and providing technical leadership. Experience with ML/anomaly detection for observability use cases is a plus. | — | 5 |