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Identify team needs and hire strong candidates • Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding • Provide visibility to senior leadership regarding the team’s global impact • Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest • Build a culture of excellence and expertise within the team What we’re looking for: • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience • Experience leading and working on a large-scale production recommendation, e-commerce, search or ads systems that are based on state-of-the-art machine learning and big data technology • Strong experience in related fields such as recommendation systems and applied machine learning experience is required.

What we are looking for • Experience leading and working on a large-scale production search, recommendation or ads systems that are based on state-of-the-art machine learning and big data technology. • Applied machine learning experience is strongly preferred.

What we’re looking for • Degree in Computer Science, Machine Learning, Statistics or related field. • 10+ years of professional experience as a hands-on engineer and technical leader leading multiple projects. • Strong software engineering and mathematical skills with knowledge of statistical methods. • Hands-on experience with large-scale online e-commerce systems is a plus. • Background in computational advertising is preferred. • Nice to Have : • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration In-Office Requirement Statement: • We let the type of work you do guide the collaboration style.

This role is part of Pinterest’s Corporate Security team and will collaborate closely with engineers to tackle complex enterprise security challenges.

As a Data Scientist in our Core organization, you will shape the future of people-facing and business-facing products we build at Pinterest.

We are looking for Data Scientists to join our Monetization Engineering organization. You will take end to end ownership of designing, researching, building, and delivering data products as well as collaborate with XFNs to formulate, experiment, and evolve Pinterest’s strategy in the Ads space.

What you’ll do • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval • Work in a high-impact environment with quick experimentation and product launches • Keeping up with industry trends in recommendation systems What we’re looking for: • 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning) • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) • Degree in computer science, machine learning, statistics, or related field • Nice to have: • Publications at top ML conferences • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration • Expertise in scalable realtime systems that process stream data • Passion for applied ML and the Pinterest product • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.

What you’ll do • Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest • Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas • Use data driven methods and leverage the unique properties of our data to improve candidates retrieval • Work in a high-impact environment with quick experimentation and product launches • Keep up with industry trends in recommendation systems • Leverage LLMs to enhance content understanding What we’re looking for: • 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning) • Degree in computer science, statistics, or related field; or equivalent experience • End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) • Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems • Nice to have: • M.S. or PhD in Machine Learning or related areas • Publications at top ML conferences • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration • Expertise in scalable realtime systems that process stream data • Passion for applied ML and the Pinterest product • Background in computational advertising Relocation Statement: • This position is not eligible for relocation assistance.

What we're looking for • Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology - spanning fairness, ethics, and broader societal considerations. • Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs and VLMS) and their applications in large-scale Search and Recommender Systems. • Proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale, bridging state-of-the-art research with tangible product impact. • 4+ years working experience in the engineering teams that build large-scale ML-driven user-facing products • 1+ years experience leading cross-team engineering efforts. • Masters or PhD in Comp Sci or related fields Nice to have: • Publications at top ML conferences • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration • Expertise in scalable realtime systems that process stream data • Passion for applied research and the Pinterest product Relocation Statement: • This position is not eligible for relocation assistance.

What we’re looking for • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience. • 5+ years of experience in product security, application security, or security related software engineering role. • Enthusiasm for the constant fight to ensure security and privacy. • Proficiency in a dynamic programming language such as Python.

What we’re looking for • Bachelor’s or master’s degree in computer science, Engineering or a related field; or equivalent combination of education and experience. • Minimum of 15 years product management experience with minimum 4+ years in a product role in a global organization. • Excellent communication, collaboration and leadership skills, with the ability to navigate cross-cultural and cross-functional environments. • Nimble to deliver for stakeholders: You know how to navigate hurdles and stay focused on great customer experience. • Significant product ownership or product management experience in accounting systems. • Strong understanding of accounting processes (Record to Report, Procure to Pay, Order to Cash, Tax) and the ability to connect technology investments to business value. • Experience driving systems implementations or transformations across multiple accounting process areas, ideally in SaaS environments. • Demonstrated hands-on use of AI in real business workflows, not just conceptual familiarity. • Strong judgment in validating AI outputs, managing risk, and maintaining ownership of final decisions and outcomes. • Excellent communication, collaboration, and stakeholder management skills across technical and non-technical teams. • Proven ability to operate strategically and tactically, from long-term vision to day-to-day delivery. • Ability to work through ambiguity, prioritize effectively, and drive measurable outcomes. • Strong understanding of Agile principles and iterative product development.

As a Staff Machine Learning Engineer focused on Agentic AI & Recommendations, you will lead the ML strategy and execution for the intelligence layer behind these experiences.

We’re looking for a Staff Machine Learning Engineer to lead the development of ML systems that power Pinterest’s first- and third-party ads measurement products.

We’re looking for a Staff ML engineer to develop core bidding and ranking systems that help us optimally buy and sell inventory across exchanges, driving strong ROI for advertisers and growing a critical revenue stream for Pinterest.

What you’ll do • Define, design, and launch thoughtful AI/ML-powered experiences that help users discover, curate, and shop ideas tailored to their unique taste. • Partner cross-functionally with Engineering, Design, and Data Science to craft seamless and delightful experiences at the intersection of user experience, ML, and AI. • Set product vision, influence strategy, write requirements, develop hypotheses, and establish success metrics for critical personalization initiatives. • Identify and prioritize new opportunities to advance the relevance, impact, and sophistication of personalization across Pinterest’s Curation portfolio. • Autonomously navigate and resolve complex, ambiguous product challenges—and influence product strategy across multiple teams.

We’re seeking a Staff Engineer to lead the architecture and technical direction of the measurement platform behind how advertisers understand the impact of their investment on Pinterest.

What we’re looking for • 8+ years of backend or full-stack software engineering experience building large-scale distributed systems, services, and data pipelines, ideally in ads, measurement, or similar data-intensive domains. • Proven track record shipping GenAI- or ML-powered products end-to-end (agent or model integration, retrieval, evaluation, safety/guardrails, and online/offline metrics). • Required prior ads domain expertise, preferably in measurement, including conversion tracking, attribution, signal enrichment pipelines, and familiarity with concepts like ROAS, CPA, and campaign optimization.

We’re seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and de‑identification for ads reporting.

What you’ll do • Lead one or two partner integrations, and work closely with product managers, data scientists, other cross-functional teams, and external partners to understand business requirements and translate them into technical solutions. • Use AI to accelerate team execution, system design, and decision-making, applying sound judgment to validate outputs and ensure correctness and quality. • Independently drive the full software development lifecycle, including ideation, technical design, prototyping, development, and release. • Independently drive problem-solving and product iterations by utilizing A/B testing. • Establish and maintain a high standard for technical excellence and production quality. • Mentor junior engineers on the team and provide design and coding feedback.

We’re looking for a Backend Engineer to help design, build, and scale tvScientific’s contract and billing systems that support direct advertisers, internal teams, and Finance.