Consumer · Visual discovery
- HQ
- San Francisco, US
- Founded
- 2010
- Size
- 4,000+
- Funding
- Public (PINS)
- Website
- pinterest.com
- Blog
- medium.com
Products
Currently tracking 37 active AI roles, down 18% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $124k–$485k (avg $266k).
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.
Consumer · Visual discovery
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, Developer Agents, Machine Learning Engineer II. Most positions are in Engineering and Product.
Pinterest's active AI hiring is concentrated in: application (47%), agents (36%), post-training (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 (50 roles), Ireland (2 roles), Canada (1 role).
Job postings at Pinterest most frequently reference: recommender systems, agent orchestration, model serving, search ranking, llm observability.
In the past 30 days, Pinterest has posted 9 new AI-related roles. That is a -31% change versus the prior 30 days (13 → 9).
| 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 |
| Machine Learning Engineer II, Computer Vision Applied Science Machine Learning Engineer II, Computer Vision Applied Science at Pinterest, focusing on advancing vision-centric LLMs (VLMs). The role involves prototyping new model architectures, developing evaluation benchmarks for vision-centric capabilities, contributing to generative strategy, and assisting with data collection for RLHF and fine-tuning. The goal is to enhance the core Pinterest product using large-scale generative models built on visual-text datasets. | Post-trainAgent | 9 |
| Sr. Machine Learning Engineer, Applied Science This role focuses on developing and shipping foundation ML models, specifically a text-to-image generative model called Pinterest Canvas. The responsibilities include prototyping new model architectures, contributing to visual generative strategy, collecting training data for RLHF and fine-tuning, and publishing research. The role requires experience with generative computer vision models, particularly diffusion models, and a strong academic background. | Post-trainShip | 9 |
| Principal Engineer, AI Platform Principal Engineer on the AI Platform team at Pinterest, responsible for architecting the infrastructure for Generative AI and Recommender Systems. The role involves end-to-end engines for data orchestration, model training/fine-tuning, and high-performance inference, scaling to hundreds of millions of inferences per second for over 600 million monthly active users. | ServePost-train | 8 |
| Sr. Staff Machine Learning Engineer, Agentic Ads Sr. Staff Machine Learning Engineer role focused on defining the technical strategy for next-generation ads ranking and bidding models using large scale ML and agentic development loops. The role involves designing, building, and launching production models and signals, refining training and evaluation pipelines, and using AI to accelerate analysis and iteration. It requires leadership in technical strategy, cross-functional partnership, and mentoring, with a focus on improving ads quality, relevance, and long-term value. | AgentServe | 8 |
| 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 |
| 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 |
| Machine Learning Engineer II, Core Engineering Machine Learning Engineer II at Pinterest focused on building and improving ML models for core product surfaces like Homefeed, Ads, Growth, Shopping, and Search. The role involves developing cutting-edge deep learning and ML technologies for personalization, using data-driven methods, and working with large-scale systems and stream data. The primary output is the improvement and deployment of ML models within the consumer product. | Ship | 8 |
| Sr. Production Engineer, Solutions Engineering Senior Production Engineer role focused on designing and building AI agents, platforms, and tools to enhance the reliability and operability of large-scale distributed systems at Pinterest. The role involves creating AI agents for service health analysis, infrastructure modernization using AI, and transforming consulting patterns into scalable, AI-assisted platforms. It emphasizes building knowledge infrastructure for operational agents and developing software solutions for system reliability. | Agent | 7 |
| Staff Software Engineer, Growth AI Staff Software Engineer role focused on architecting and shipping AI-powered growth experiences at scale for Pinterest's Growth organization. This role involves building production systems, partnering with ML teams, defining service interfaces, and managing tradeoffs. It emphasizes an AI-native engineering model with eval-driven shipping and a prototype-first culture. | ShipAgent | 7 |
| 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 |
| Sr. Software Engineer Senior Software Engineer role focused on building data privacy solutions for AI platforms at Pinterest. The role involves designing services for safe onboarding of AI use cases, creating secure environments for agent-driven data processing, and developing an auditing pipeline for AI sandbox data egress. Requires strong coding skills, experience with AI-based engineering, and understanding of access controls and security systems. | Agent | 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 |
| 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 |
| Machine Learning Engineer II Machine Learning Engineer II at Pinterest focused on developing and implementing ML models for user targeting and personalization to drive engagement and growth. The role involves building scalable ML pipelines, conducting A/B tests, analyzing data, and contributing to ML infrastructure, with an emphasis on leveraging AI tools for engineering practices. | Ship | 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 |