Pinterest

This role focuses on designing and building data science foundations for automated adversarial testing of Generative AI products at Pinterest. The primary goal is to identify vulnerabilities, develop evaluation frameworks, and create harm-detection methodologies to ensure product safety, policy compliance, and user trust. The role involves working cross-functionally with ML Engineers, Trust & Safety, Policy, and Product Managers to proactively mitigate risks in GenAI experiences.

Senior Data Scientist role focused on building the measurement and evaluation frameworks for foundational AI models at Pinterest. This role will design system-level metrics, experimentation strategies, and causal inference methodologies to quantify the impact of model improvements on user and business outcomes, directly influencing investment decisions and launch criteria. The role requires deep understanding of recommendation systems and large-scale ML evaluation.

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.

VP, Ads Quality Engineering to spearhead the AIML engineering division, leveraging data, machine learning, and generative AI to enhance Pinterest's ads delivery funnel. This role requires strong analytical skills, deep understanding of ML and generative AI, online auction dynamics, and experience leading large engineering teams to maximize monetization opportunities.

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.

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 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.

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.

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.

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.

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.

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.

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.

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.

Director of Machine Learning Engineering for the Growth organization at Pinterest. This role will define the long-term ML vision, strategy, and operating model to drive user and engagement growth. Responsibilities include overseeing multiple ML teams, partnering with leadership on strategy, defining ML architecture, building and developing teams, and acting as a thought partner. The role requires deep expertise in building and operating large-scale ML systems in production, leading multiple ML teams, and defining technical strategies.

Lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest, including ultra-high-performance C++ model inference engines and production GenAI & LLM model inference stacks.

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.

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.

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.

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.

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.

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.

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.

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.

Security Software Engineer role focused on building and improving security systems, automation, and operational workflows at Pinterest. The role involves writing production-ready code, infrastructure-as-code, and improving security processes like access controls and cloud guardrails. A key aspect is leveraging AI to enhance engineering efficiency and summarize operational signals, while maintaining a strong emphasis on validating AI-assisted outputs.

Software Engineer II on the Internal Identity & Access Management team at Pinterest, focusing on building robust tooling for access controls. The role involves contributing to the technical roadmap for identity and authorization, designing and maintaining critical IAM infrastructure, and leveraging AI agents (including AI Coding Agents) to improve systems, least privilege, code quality, and system performance. The role also involves building AAA platform controls into high-traffic services, including AI Agents.

Backend Engineer II at Pinterest's tvScientific, focusing on designing, building, and scaling contract and billing systems for a CTV advertising platform. The role involves developing backend services for contract lifecycle management, supporting various billing models (CPA, CPM), and ensuring system accuracy, auditability, and reliability. It emphasizes domain modeling, data integrity, and collaboration with Product, Finance, and Data teams. The role also requires leveraging AI tools for workflow improvement while maintaining critical evaluation and ownership of AI-assisted work.

Principal Engineer on the Online Systems team, responsible for powering Pinterest's business-critical online systems at massive scale. This role will lead major efforts in multi-region deployment and Kubernetes migration, set standards for operational excellence, and define the long-term vision for online serving infrastructure that supports ML and product innovation. The role requires deep expertise in distributed systems, online serving, storage, and caching, with a proven track record of driving large-scale technical impact and a strong ownership/quality mindset, including thoughtful use of AI tools.

Senior Staff Software Engineer role at Pinterest focused on Ads Measurement, driving the next generation of conversion measurement capabilities. This role involves shaping strategy, driving architecture, and delivering platforms and product capabilities across a broad range of measurement challenges, including identity, attribution, privacy-aware measurement, experimentation, and conversion modeling. The role will partner with Data Science and Applied Science, and apply AI to identify signal loss, improve measurement resilience, and build diagnostics and explainability tools for advertisers.

This role is for a Sr. Site Reliability Engineer on the Compute SRE team, responsible for ensuring compute workloads run smoothly on Pinterest's Kubernetes infrastructure. The role involves designing and building systems, platforms, and tools to ensure reliability at scale. A significant aspect of the role involves using AI tools for development, incident analysis, and operational improvements, as well as critically evaluating AI-assisted work.

Lead a cross-platform team responsible for content acquisition, media ingestion, and media signal processing. The role involves setting technical direction, driving execution, partnering with GenAI teams, guiding architectural decisions, building and growing the team, and raising engineering excellence. It also emphasizes leveraging AI tools for development speed and shaping AI-assisted engineering practices, including guardrails for GenAI compliance.

Staff Technical Program Manager for Ads Measurement at Pinterest. This role drives the development and scaling of new and existing measurement solutions, solving complex engineering problems, and managing ambiguous programs from inception to launch. The role emphasizes using GenAI as a default operating model for program management execution, including producing AI-assisted drafts and modernizing workflows. It also involves prototyping AI-augmented solutions for data-driven decisions and process simplification, while adhering to Pinterest's AI guidance for risk, governance, and safety.

This role is for a Systems/Platform Engineer focused on building and scaling low-latency, high-throughput ML infrastructure for real-time advertising and measurement. The engineer will work on the foundation of the training and serving stack, focusing on performance, observability, and reliability. While the role mentions AI and using AI tools, the core responsibility is infrastructure engineering, not direct AI model development.

Staff Software Engineer role focused on building and evolving AI-first merchant, ad, and advertiser review systems for platform safety and revenue growth. The role involves end-to-end technical delivery, mentoring engineers, and partnering with cross-functional teams. Experience with ML-, AI-, or GenAI-adjacent systems is required, with a focus on responsible deployment.

Senior Staff Software Engineer role at Pinterest focused on the Merchants organization. The role involves leading high-impact engineering at the intersection of commerce platforms, catalog systems, and AI-native experiences. Responsibilities include applying ML, AI-assisted workflows, and GenAI to improve metadata quality, merchant tooling, and operational efficiency, as well as building and evolving ML/GenAI/AI-assisted merchant experiences. The role requires significant software engineering experience, a strong track record in commerce or related domains, and experience with ML/AI/GenAI-adjacent systems.

This role focuses on the operational and technical aspects of programmatic advertising on Pinterest, acting as a liaison between clients and internal teams. While the role mentions "AI-enabled operational excellence" and using AI-assisted tools, its core function is not building or directly deploying AI/ML models but rather managing and optimizing ad campaigns using existing platforms and tools, some of which may be AI-enhanced.

Security Engineer role focused on building detection and response capabilities, managing logging pipelines, developing internal tooling, and hunting threats. The role emphasizes leveraging AI to enhance security operations and requires critical evaluation of AI-assisted work, with a focus on responsible AI usage and accountability.

Sales Engineer for tvScientific, a CTV advertising platform. This role serves as the primary technical expert during the sales cycle, partnering with Sales to design, explain, and validate client integrations. Responsibilities include leading discovery conversations, recommending measurement and attribution solutions, troubleshooting implementation issues, and translating complex technical concepts. The role also involves staying current on ad tech and privacy changes, documenting best practices, and leveraging AI tools to improve efficiency in research, documentation, and troubleshooting. Requires 3+ years in a technical, client-facing role with a strong understanding of digital media and advertising, and hands-on experience with tracking technologies. Familiarity with programmatic platforms, analytics, and privacy regulations are nice to haves.

Engineering Manager II, Enterprise AI Solutions at Pinterest. This role involves leading a team to solve business problems using AI tools, architecting data solutions for ML/AI innovations, and delivering AI-based solutions for business units like Finance, Accounting, Legal, Sales, and Marketing. The manager will mentor engineers, set team vision, and ensure the quality and correctness of AI-driven outputs.

This role is for a Sr. Staff Software Engineer on the Data Product Platform team at Pinterest. The primary focus is on architecting and driving solutions for data warehouses, analytical tools, and data governance. A key aspect involves building AI-assisted data analytics capabilities and platforms to accelerate data pipeline authoring and engineering productivity, leveraging AI coding tools. The role is engineering-focused within the enterprise AI domain, aiming to build foundational AI analytics products.

This role is for a Technical Program Manager II at Pinterest, focusing on transforming software engineering for the AI-native era. The TPM will use GenAI as the default operating model for program management execution, prototype solutions to augment decisions with AI, and lead company-wide programs to improve developer productivity through AI-assisted coding and deployment safety. The role involves driving the roadmap and operating model for AI-native engineering practices, leading complex technical programs, and coordinating work across multiple teams. A strong technical fluency in infrastructure and platform concepts is required, along with experience operating within AI governance expectations.

Engineering Manager to lead a team building and supporting Pinterest's mid-funnel ad products, driving technical direction and execution. The role involves applying AI to accelerate prototyping, experimentation, and iteration, as well as championing AI adoption in developer workflows to improve engineering velocity. The manager will also use AI to synthesize complex inputs for decision-making and serve as the engineering owner for the workstream, defining the technical roadmap and architecture.

Engineering Manager II for the Programmatic Offsite Ads team at Pinterest. This role will lead efforts to define, build, and evolve ad features for off-platform supply partnerships, focusing on advertiser performance and industry standards. The manager will own the strategy and roadmap, partner with various teams, lead experimentation, and collaborate with ML/infra teams. The role also involves managing a team of engineers and fostering an inclusive culture. Experience with large-scale distributed systems, programmatic advertising, and AI for workflow acceleration is required.

Staff Collaboration Systems Engineer for Google Workspace at Pinterest. This role focuses on owning and evolving the Google Workspace platform, including Gmail, Calendar, Drive, Docs, Chat, and Meet. Responsibilities include tenant configuration, policy governance, architecture design, incident response, automation using scripting and APIs, and integration with identity and security systems. The role also involves using AI tools to enhance engineering and operational tasks, leading cross-functional projects, and mentoring other engineers. The ideal candidate has extensive experience with Google Workspace, strong systems design and troubleshooting skills, automation expertise, and a proven track record of using AI tools to improve efficiency while maintaining ownership and validation.

Staff Software Engineer on the Activation team at Pinterest, focusing on backend systems for new and returning user experience. This role involves driving technical strategy, building APIs, event pipelines, and recommendation serving infrastructure, with a strong emphasis on supporting ML models and collaborating with ML engineers. The position requires experience in large-scale backend systems, product mindset, and system design skills.