We’re looking for a machine learning engineer II in our Growth Platform engineering group. You’ll join a small and focussed team who will help us to understand our users better so we can drive engagement and growth, and to improve their user experience.

What you'll do:

• Develop and implement ML models to improve user targeting and personalization for growth initiatives
• Design and build scalable ML pipelines for data processing, model training, and deployment
• Collaborate with cross-functional teams to identify potential ML solutions for growth opportunities
• Conduct A/B tests to evaluate the performance of ML models and optimize their impact on key growth metrics
• Analyze large datasets to extract insights and inform decision-making for user acquisition and retention strategies
• Contribute to the development of our ML infrastructure, ensuring it can support rapid experimentation and deployment
• Stay up-to-date with the latest advancements in ML and recommend new techniques to enhance our growth efforts
• Participate in code reviews and collaborate with team members as needed
• Thoughtfully leverage AI tools to speed up design, coding, debugging, and documentation, while applying your own critical thinking to validate outputs and explain how you used AI in your workflow.
• Shape our AI-assisted engineering practices by sharing patterns, guardrails, and learnings with the team so we can safely increase our impact without compromising code quality, reliability, or candidate expectations.

What we're looking for:

• 3+ years of experience applying ML to real-world problems, preferably in a growth or user acquisition context
• Excellent communication skills and ability to work effectively in cross-functional teams 
• Strong problem-solving skills and ability to translate business requirements into technical solutions
• Strong programming skills in Python and experience with PyTorch
• Proficiency in data processing and analysis using tools like SQL, Spark, or Hadoop
• Experience with recommendation systems, user modeling, or personalization algorithms
• Familiarity with statistical analysis
• Experience using AI coding assistants and agentic tools as a force-multiplier, and equally comfortable solving problems from first principles when those tools aren’t available.
• Bachelor’s/Master’s degree in a relevant field or equivalent experience.
• Nice to have:
  • Experience with Natural Language Processing (NLP) to enhance user targeting and personalization strategies
  • Proficiency in data visualization techniques
  • Experience with cloud platforms (e.g., AWS) and containerization technologies (e.g., Docker, Kubernetes)
  • Contributions to open-source ML projects or research publications

Relocation Statement:

•  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times per month and therefore needs to be in a commutable distance from one of the following offices: Dublin.

#LI-HYBRID 

#LI-JD1

At Pinterest, our mission is to bring everyone the inspiration to create a life they love. Essential to this mission is ensuring compliance across various regulatory landscapes, including intellectual property (IP) laws, trademark regulations, the Digital Services Act (DSA), and privacy laws. We’re seeking an experienced engineer to work in our compliance team with a focus on these important areas.

What you’ll do:

• Work with a team of engineers and compliance specialists dedicated to crafting solutions that ensure Pinterest's adherence to IP, content, youth, and privacy regulations.
• Collaborate with cross-functional teams, including Legal, Ops, Product Management, and Data Privacy, to design and implement compliance solutions that align with Pinterest's objectives.
• Develop and maintain tools and processes to monitor compliance and mitigate risks.
• Manage project timeline to ensure timely delivery of compliance-related initiatives.
• Design, develop and implement scalable systems to address the need for compliance.
• Thoughtfully leverage AI tools to speed up design, coding, debugging, and documentation, while applying your own critical thinking to validate outputs and explain how you used AI in your workflow.
• Shape our AI-assisted engineering practices by sharing patterns, guardrails, and learnings with the team so we can safely increase our impact without compromising code quality, reliability, or candidate expectations.

What we’re looking for:

• Bachelor’s/Master’s degree in a relevant field such as computer science, or equivalent experience.
• Excellent communication skills, with the ability to translate complex technical concepts into clear, actionable insights.
• Strong programming skills in Python and experience with TypeScript 
• A track record of developing high-quality software with high reliability.
• Proven ability to manage and deliver technical initiatives to achieve high-impact outcomes.
• Well-versed in agile development methodologies.
• Experience using AI coding assistants and agentic tools as a force-multiplier, and equally comfortable solving problems from first principles when those tools aren’t available.
• An understanding of the regulatory landscape is preferred, but not required.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times every 3-months and therefore can be situated anywhere in the country.

#LI-HYBRID

#LI-JD1

Pinterest is a platform where > 500 million users come to discover ideas, get inspired, and turn dreams into action. Every time a user opens Pinterest, Homefeed is what greets them. For over half a billion people each month, your work will help define what they see, how they feel, and how they connect with what matters to them. As the Manager II, Machine Learning Engineering for Homefeed Retrieval Modeling, you sit at the heart of this mission, propelling both technology and people forward.

Pinterest Homefeed is known for being at the forefront of recommendation system technologies, helping to pioneer innovative breakthroughs that are scalable to positively impact the Pinner experience. Retrieval is where the recommendation journey starts, and that is the scope of the team you’ll lead. More specifically you’ll own:

• All of the retrieval sources (candidate generators), including machine learned ones such as two-tower and conditional two-tower
• ML optimization engines to dynamically trigger the different candidate generators
• Signal development and integration in early funnel of recommendation systems to drive growth and retention on the the platform
• Forward-looking investments such as generative retrieval technologies to bring step-function improvements in how contents are recommended
  
  

What you’ll do:

• People Leadership: Build, mentor, and empower a diverse team of 8-9 machine learning engineers—focusing on growth, well-being, and career ambitions. Guide high level ICs, nurture rising stars, and foster an environment where curiosity and mastery thrive.
• Technical Direction: Set the strategy, architecture, and roadmap for machine learning-based solutions at the heart of Homefeed. Bring together state-of-the-art ML techniques, cost-efficiency, and infrastructure excellence to drive discovery.
• Cross-Functional Collaboration: Partner with product, design, and engineering teams to connect business goals and user needs. Drive the conversation for new product experiences and ensure Homefeed remains best-in-class, always evolving to meet what’s next.
• Stakeholder Influence: Bridge leadership vision with execution, maintain clarity through change, and build trust during periods of transformation. Provide senior leadership with visibility into the team’s impact across Pinterest and the industry.
• Culture Development: Model a culture of expertise, inclusivity, and psychological safety. Your guidance sets the tone for the team—balancing stability and evolution as the organization grows.
• How you may grow:
• • This role is uniquely positioned for extraordinary growth:
  • Industry Visibility: Innovate in ML-driven recommendation systems at a scale few companies reach. Your work will shape state-of-the-art practice, inspire the industry, and be recognized not only internally but by millions globally via blog posts and conference paper submissions.
  • Core Business Value: Homefeed Retrieval directly influences the largest user touchpoint at Pinterest. As the business and platform grows, this role and the team will scale naturally with it.
  • Broad Technical Scope: Homefeed Retrieval influences the largest user touchpoint at Pinterest. You’ll lead across core ML topics—learned retrieval, candidate generator modeling, RecGPT, deep collaboration with Principle-level engineers, other organization leaders, and more.
  • Mentorship and Legacy: Build a mentoring legacy not just for your direct team of 8+ engineers (including Staff-level MLEs), but also by shaping new leaders and influencing peers across the company.
    
    

What we’re looking for:

• Depth in ML: You bring deep expertise in large-scale production recommender, search, or ads systems. You know the landscape of embedding-based retrieval, experimentation, cost-efficiency, and product-facing ML solutions.
• Leadership Maturity: 8+ years of experience, including 1+ year managing high-performing ML teams (10 or more engineers), and a proven record of hiring, empowering, and developing technical talent.
• Strategic Instinct: You balance ambition and pragmatism, thoughtfully prioritizing investments in foundational and experimental work. You keep business goals and user experience front and center, never losing sight of impact.
• Collaborative Spirit: Experienced in cross-functional stakeholder management, you help diverse teams navigate change, achieve shared goals, and thrive through ambiguity.
• Growth Orientation: Whether guiding senior ICs or partnering with peers, you listen deeply, adapt thoughtfully, and help people stretch in pursuit of excellence.
• AI Efficiency: 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.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

#LI-REMOTE

#LI-DM57

We are looking for a Sr. Staff Machine Learning Engineer to be the Technical Lead for the Content Quality who will build the overall technical strategy, unified technical architecture and define a roadmap for industry leading methodology. We are seeking strong hands on machine learning background including content modeling, signal lifecycle, and platforms used to enforce signal use with downstream use cases.

You’ll be working with other leads to set and execute a long-term strategy for the team, aligning the strategy with other clients where it makes sense and communicating to leadership our current status and path to having world-class capabilities. You'll also foster a healthy community where all Content Quality engineers can learn best practices, collaborate effectively and understand our technical direction. 

What you’ll do:

• Architect and develop a roadmap and processes for building and delivering signals capturing quality and trust aspects of content at Pinterest.
• Drive safety of GenAI and Conversational use cases including safety alignment and VLMs.
• Work with downstream teams to align on use cases, evaluate signal impact, and drive adoption of signals in models, ranking systems, and decision-making workflows.
• Partner closely with ML engineers to translate ideas into production-ready signals, from problem formulation and feature design to validation and deployment.

What we’re looking for:

• Experience driving technical strategy at an organizational level.
• Expertise in content modeling at consumer internet scale.
• Using GenAI for scaling ML development.
• Strong ability to work cross-functionally and with partner engineering teams.
• Experience working with multiple stakeholders.
• Strong measurement and scalability experience.
• Strong ML knowledge and expertise.
• Hands-on experience with big data technologies (e.g., Hadoop / Spark / Kafka / Flink) is a plus.
• Machine Learning at scale deployment experience (note this is different from having ML theoretical knowledge, which is a nice to have).
• Thought Leadership: Publication and/or conference speaking experience is a plus.
• 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. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-HYBRID

#LI-AK7

We are looking for a Director of Machine Learning to lead the Machine Learning function for the Growth organization. This leader will define the long‑term ML vision, strategy and operating model that powers user and engagement growth across Pinterest’s surfaces and entry points.

You will oversee multiple teams of machine learning engineers and managers responsible for core Growth problems such as activation, retention, notifications, SEO, paid acquisition and lifecycle personalization. You’ll combine deep technical expertise with strong people leadership and product instincts to deliver industry‑leading methodologies in recommendation, ranking, experimentation, deep learning and generative AI. As the Director, Machine Learning for Growth, you’ll own the health, performance and evolution of our ML ecosystems across Growth. You’ll ensure our technology can deliver on the business and product requirements necessary to keep Pinterest as an engaging, inspiring platform for everyone. This means:

• Partnering with senior Product, Data Science, and Engineering leadership to set and execute a multi‑year strategy for Pinterest’s Growth systems.
• Defining a unified ML architecture and roadmap for Growth that leverages shared platforms while allowing fast iteration.
• Building, developing and retaining a world‑class team of machine learning leaders and engineers.
• Acting as a visible thought partner and spokesperson for Growth ML to executives and cross‑functional stakeholders.

You’ll also foster a healthy, inclusive community where ML practitioners across Growth can learn best practices, collaborate effectively and understand our technical direction.

What you’ll do:

• Own the ML strategy for Growth
• Define and communicate a clear multi‑year ML vision, technical strategy and investment roadmap for the Growth organization.
• Identify and prioritize the most impactful Growth opportunities where ML can transform user acquisition, activation, engagement depth and retention.
• Establish success metrics and frameworks for measuring the impact and quality of Growth ML systems.
• Lead and grow high‑performing ML teams
• Manage and develop managers and senior/principal ML engineers; grow and scale multiple ML teams supporting different Growth charters.
• Build an inclusive, high‑accountability culture focused on impact, learning and technical excellence.
• Scale your leadership through org‑wide best practices, processes, training and tools for ML development, deployment and experimentation.
• Drive execution on critical Growth initiatives
• Champion and lead large‑scale, cross‑functional initiatives that grow user visitation, activation and engagement depth, from ideation through execution.
• Ensure solid technical plans are in place for major Growth initiatives, including architecture, data strategy, measurement and risk management.
• Partner closely with Product, Engineering, Data Science, Marketing and Sales to align roadmaps and deliver cohesive, end‑to‑end Growth experiences.
• Shape our ML platforms and architecture
• Define a unified ML architecture for Growth, in partnership with central platform teams, that supports rapid experimentation and reliable, scalable production systems.
• Guide investments in foundational capabilities (feature platforms, training/serving infrastructure, experimentation, monitoring) that unlock leverage for all Growth teams.
• Ensure Growth ML systems follow best practices around reliability, performance, privacy and responsible AI.
• Influence across Pinterest
• Act as the primary ML point of contact for Growth with executive leadership and cross‑functional partners for a 125+ member org (and growing).
• Represent Growth ML needs and priorities in company‑wide planning, resource allocation and technical forums.
• Evangelize responsible and quality‑first discovery surfaces that drive user visitations while upholding Pinterest’s values.

What we’re looking for:

• Deep expertise building and operating large‑scale ML systems in production, using modern frameworks (e.g., deep learning, recommendation/ranking systems, reinforcement learning, generative AI).
• Demonstrated success driving Growth or adjacent problem spaces (e.g., activation funnels, notifications, lifecycle marketing, SEO, paid acquisition, or large‑scale consumer engagement).
• Proven track record of leading multiple ML teams or organizations, including managing managers and setting strategy across a broad portfolio of projects.
• Experience defining and executing multi‑year technical strategies and roadmaps, and delivering large, cross‑functional initiatives across multiple organizations.
• Strong product sense and ability to translate ambiguous business questions into well‑structured ML problems and experiments.
• Exceptional written and verbal communication skills, with a proven ability to influence senior leaders and collaborate cross‑functionally.
• Commitment to building responsible, user‑centric ML systems with high quality, fairness and safety standards.
• Degree in Computer Science, Machine Learning, Statistics or a related field, or equivalent practical experience.
• 12+ years of professional experience as a hands‑on engineer and technical leader, including 5+ years in people leadership roles (managing managers and senior ICs).

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 recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in‑person collaboration 1–2 times every 6 months and therefore can be situated anywhere in the country.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE
#LI-AK7

Pinterest helps more than 450 million people discover new ideas to help design their life. Our users come to Pinterest to explore ideas and run more than 6 billion search queries every month. Many of these queries represent exploratory search intent and are broad, which means that the search system should be able to deeply understand this intent, and then help people explore content, personalize results, harness visual signals effectively, and show the most engaging content up front. In addition, the team also owns query refinements and modules that help Pinners narrow their search intent from broad exploratory queries, to help them narrow their results down. All of this means that Pinterest search presents a unique challenge quite unlike other search systems and the opportunity to innovate on a product that only Pinterest can build. 

We are looking for an exceptional  technical leader and engineering manager to help lead the search backend team that spans across Palo Alto and Seattle.

What you will do:

• The candidate will be responsible for major areas of the search engine for more than 450 million monthly active Pinterest users, including indexing and document ranking, query and content understanding, personalization, ML based retrieval, shopping, videos, as well as infrastructure efficiency and scalability. In addition, the candidate will work on innovative applications of NLP and Vision Models, and other techniques to drive query recommendations, multimodal search, agentic search, multimodal query understanding, and query based module generation and ranking.
• Work closely with the other engineering teams in Pinterest to bring superior search experience to our users, such as Search Product, Infrastructure, research and content signals.
• Deeply understand the Pinterest search product, and drive the vision for the team.
• Provide visibility for senior leadership into the team’s global impact.
• Partner with stakeholders to expand impact across the company, including product management, data scientists and design. 
• Mentor and grow managers, leaders and engineers on the team.
• Build a culture of excellence and expertise.

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. Experience in related fields such as recommendation systems, natural language processing and computer vision is a bonus.
• Ability to drive the roadmap and directions of scalable production quality systems end-to-end.
• A knack for product and impact on users of a consumer product. 
• 3+ years of experience in leading/managing a highly impactful ML-based engineering team of 5+ size; 7+ years of software development experience.
• Bachelors degree in computer science or related technical field, or equivalent experience
• 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. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE

#LI-DM57

As a Staff Engineer on the Activation team, you'll drive the technical strategy and execution for backend systems that power Pinterest's new and returning user experience. This is a high-impact role in a growth engineering org focused on helping users find value on Pinterest quickly, identifying the right technical problems to solve, and moving fast to drive measurable results.

What you'll do:

• Lead the technical roadmap for activation backend systems, defining the highest-impact opportunities for new and returning users
• Drive hands-on backend engineering across APIs, event pipelines, production systems, and recommendation serving
• Build signal infrastructure that captures user intent from entry points and makes it available to recommendation systems
• Collaborate closely with ML engineers, building the backend infrastructure that ML models depend on
• Partner with product managers and data scientists to translate user problems into technical opportunities
• Drive cross-team technical initiatives, authoring design documents and building alignment across engineering orgs
• Own system reliability, production readiness, and operational health for activation backend systems
• Mentor and develop engineers on the team
  
  

What we're looking for:

• 5+ years of experience building and shipping large-scale backend systems at consumer internet companies
• 2+ years of experience as a senior IC driving cross-team projects with measurable business impact
• Strong product mindset with the ability to identify which technical problems matter most for business impact
• Track record of rapid execution and driving projects to completion in ambiguous environments
• Strong systems design skills across distributed systems, event-driven architectures, and service-oriented backends
• Familiarity with ML infrastructure concepts and ability to build systems that support ML workloads
• Strong collaboration and communication skills across engineering and product audiences
• Experience mentoring engineers and establishing technical best practices
• Demonstrated ability to use AI to accelerate your workflow while maintaining high standards for verification, data integrity, and ownership of final outputs
• Degree in Computer Science or a related field, or equivalent experience
  
  

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  
  

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration up to 4 times per year. Quarterly in-person collaboration will be held in San Francisco, Seattle or New York.

#LI-REMOTE

#LI-KK6

We are looking for a Staff Data Scientist for our Engagement Ecosystem. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.

What you’ll do

• Develop a deep, nuanced understanding of the Pinterest engagement ecosystem and key product surfaces, quantifying ecosystem-level opportunities and risks.
• Lead projects on:
• Tradeoffs between organic engagement and advertising.
• Deep dives on how engagement metrics impact monetization and retention.
• Understanding and predicting the value of core behaviors (e.g., saving, repinning, board creation) as they relate to downstream business outcomes.
• Designing and evaluating interventions that sustainably boost enterprise metrics across product boundaries.
• Design and productionize robust, scalable ML and evaluation frameworks—spanning forecasting, recommendation, and causal inference.
• Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact.
• Collaborate across disciplines—Product, Engineering, Research, Business, and Design—translating complex data questions into actionable business insights.
• Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence.
• Use advanced ML, causal inference, and generative AI techniques to model and explain complex interactions across the Pinterest ecosystem (e.g., organic engagement, ads, content quality, monetization), turning highly ambiguous business questions into clear, testable hypotheses and decision frameworks for Core and Monetization leadership.
• Apply AI-assisted analysis and developer tools (e.g., copilot, intelligent dashboards) to accelerate exploration, improve code quality, and scale insight generation, ensuring we can quickly evaluate tradeoffs like ad load vs. Pinner engagement.
• Champion responsible and scientifically rigorous use of AI across the ecosystem, setting best practices for instrumentation, experimentation, and metric design so that AI-driven changes balance engagement, revenue, and long-term user trust.

What we’re looking for

• 10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics.
• Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark.
• Strong product intuition—ability to scope, question, and design the right solutions for ill-defined, high-impact business problems.
• Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes.
• Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences.
• Track record mentoring and growing data talent at the staff/senior IC level.
• Cross-functional leadership and the ability to align competing interests towards shared goals.
• Proven track record applying machine learning and/or causal inference to complex, ambiguous product or marketplace problems at scale (e.g., ads, recommendations, multi-sided ecosystems), from problem framing and experimental design through to influencing senior stakeholders and driving product or policy decisions.
• Hands-on experience with modern AI/ML tools and workflows (such as PyTorch, TensorFlow, scikit-learn, or similar, plus LLM-based assistants or copilots) and comfort rapidly adopting new AI capabilities into day-to-day analysis, prototyping, and experimentation workflows.
• Masters degree in a technical field (e.g., Computer Science, Statistics, Mathematics, Engineering, Social Sciences).

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-NM4

Pinterest helps Pinners discover and do what they love. Core Engineering touches every surface the Pinner sees across the app and forms the front-and-center of the Pinterest experience for 500M+ Pinners every month. The Core team’s mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Machine Learning Engineer Engineering Manager II who can drive the team’s technical direction, strategic planning and execution. You'll have the opportunity to lead a team that works cross-team on various innovative projects of new product experiences, builds large-scale low-latency systems and state-of-the-art machine learning models, and delivers great impact to our pinners and business metrics.

What you’ll do:

• Be responsible for major areas of search, recommendations, notifications, etc for more than 500 million monthly active Pinterest users. Potential areas of impact include ML based retrieval, multi domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability
• Deeply understand the Pinterest product and drive the vision for the  team, ensuring the team’s work directly contributes to the company’s goals
• Manage and mentor a team of Machine Learning engineers (L13 - L16), providing technical guidance and support to help them grow their careers. 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. Natural language processing and computer vision is a bonus
• Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution
• Strong focus on product impact and user experience within a consumer-focused environment
• Minimum of 1 year of experience managing a high-performing machine learning engineering team of 10+ members
• 8+ years of experience in software development, with a proven track record of delivering impactful solutions
• Nice to have: 
  • Experience with 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

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

#LI-REMOTE

#LI-DM57

As an Engineering Manager I on Pinterest’s Growth AI Products team, you’ll lead a group of engineers building AI-led products and capabilities that drive top-of-funnel growth. You’ll ship user-facing experiences and AI-powered content representation improvements, partnering closely with product, design, analytics and ML teams. You’ll also align with our logged-out data intelligence and experimentation platform to ensure strong measurement, iteration and responsible rollouts.

What you’ll do: 

• Lead a team delivering AI-led growth products that improve how Pinterest content is represented, surfaced and converted in top-of-funnel experiences.
• Own planning and execution for the team’s roadmap, turning goals into clear milestones, sequencing and resourcing decisions.
• Partner with Product, Design, Analytics, Data Science and ML teams to define opportunities, set success metrics and deliver measurable growth impact.
• Drive AI-led innovations that improve content understanding and representation, including GenAI-based title and description enhancements and AI-assisted keyword and intent generation that power scalable landing experiences.
• Establish launch readiness standards for AI-powered features, including evaluation approach, quality guardrails, rollout strategy and post-launch iteration.
• Improve team operating cadence by using AI to accelerate planning, synthesis and documentation workflows, while applying judgment and verification to ensure correctness and quality.
• Build strong cross-team execution with the logged-out data intelligence and experimentation platform, ensuring new launches are measurable, comparable and easy to evaluate for stakeholders.
  
  

What we’re looking for:

• 6+ years of experience in software engineering, including experience in building and shipping large-scale user-facing products (ideally 100M+ users or equivalent high-traffic surfaces).
• 1+ years of experience in people leadership, including coaching engineers, supporting growth and driving accountability through clear expectations.
• Experience in leading ambiguous product spaces, forming a point of view, aligning stakeholders and turning strategy into execution.
• Experience in delivering AI/ML-powered product capabilities in production, including setting quality bars and partnering effectively with ML, data science and analytics counterparts.
• Experience in working across functions and teams to align priorities, manage dependencies and deliver outcomes with shared measurement.
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs, with a clear approach to validating accuracy and quality.
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI and remain accountable for final decisions and deliverables.
  
  

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  
  

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1–2 times per quarter and therefore needs to be in a commutable distance from one of the following offices: San Francisco, New York City, or Seattle.

#LI-REMOTE

#LI-CL5

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.

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:

• 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)
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
• M.S. or PhD in Machine Learning or related areas
• Expertise in scalable realtime systems that process stream data
• Passion for applied ML and the Pinterest product

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.

This job posting is for an open vacancy. Please note that the company utilizes artificial intelligence to screen applicants for the positions.

Relocation Statement: 

•  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore needs to be in a commutable distance from the Toronto office (85 Richmond St. W).

#LI-REMOTE

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.

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:

• 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)
• 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:
  • 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

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-SA1

#LI-REMOTE

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.

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.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-SA1

#LI-REMOTE