Pinterest

<div><p><strong>About Pinterest:</strong></p>
<p>Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.</p>
<p>Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the <a href="https://www.pinterestcareers.com/our-life/pinflex/" rel="noopener noreferrer ugc" target="_blank">flexibility</a> to do your best work. Creating a career you love? It’s Possible.</p>
<p>At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.</p>
<p>Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/" rel="noopener noreferrer ugc" target="_blank">here</a>.</p></div><p>Pinterest is seeking a Staff Software Engineer to build the data systems that help teams understand and manage infrastructure usage and cost. You’ll lead the design and hands-on delivery of reliable data products, including pipelines, models, and services, that support infrastructure planning, cost attribution, and budget workflows. In this individual-contributor role, you’ll shape technical direction, navigate complex cross-team work, and make infrastructure data more accurate, consistent, and useful.<br /><br /></p>
<p><strong>What you’ll do:</strong></p>
<ul>
<li>Set technical direction and help define a roadmap for reliable, scalable infrastructure data products</li>
<li>Design, build, and operate production ingestion and transformation pipelines, data models, and services for infrastructure usage, cost, ownership, and planning</li>
<li>Strengthen shared data products with clear contracts, automated quality checks, reconciliation, documentation, and operational monitoring</li>
<li>Lead ambiguous, cross-functional initiatives from problem definition and technical trade-offs through rollout and adoption; raise the engineering bar through mentorship and design reviews</li>
<li>Leverage AI to scale the impact of yourself and the team, including:
<ul>
<li>Accelerate investigation of data-quality or pipeline issues while validating findings against source data and production evidence</li>
<li>Speed up implementation and documentation of data transformations and interfaces while testing and reviewing the results</li>
<li>Explore ways to help partners self-serve trusted infrastructure insights, protecting sensitive information and verifying outputs<br /><br /></li>
</ul>
</li>
</ul>
<p><strong>What we’re looking for:</strong></p>
<ul>
<li>Bachelor’s degree in computer science, a related field, or equivalent practical experience</li>
<li>Significant experience designing, building, and operating production data systems or data-intensive services at scale</li>
<li>Strong software engineering skills in Python and SQL, with a record of writing tested, maintainable production code</li>
<li>Deep experience with ingestion, large-scale ETL and transformation, data modeling, and workflow orchestration</li>
<li>Experience designing data interfaces and contracts and improving quality, freshness, completeness, and consistency</li>
<li>A track record of leading complex technical work across teams, from framing ambiguous problems to delivery and operation</li>
<li>Ability to influence through technical judgment and clear communication and to mentor other engineers</li>
<li>Experience operating dependable data pipelines or services, including testing, monitoring, and incident response</li>
<li>Experience with AWS or similar cloud environments</li>
<li>Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs</li>
<li>Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)</li>
<li>High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables</li>
<li>Bonus points for the following:
<ul>
<li>Experience with infrastructure cost or usage data, budgeting, shared data platforms, dbt, data lineage, or modeling hierarchical ownership</li>
<li>Hands-on experience with large, cloud-native multi-tenant platforms at Internet scale<br /><br /></li>
</ul>
</li>
</ul>
<p><strong>In-Office Requirement Statement: </strong></p>
<ul>
<li>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.</li>
<li>This role will need to be in the office for in-person collaboration 1-2 times/month and therefore can be situated anywhere in the country. </li>
</ul>
<p> </p>
<p><strong>Relocation Statement:</strong></p>
<ul>
<li>This position is not eligible for relocation assistance. Visit our<a href="https://www.pinterestcareers.com/pinflex/" rel="noopener noreferrer ugc" target="_blank"> PinFlex</a> page to learn more about our working model.</li>
</ul>
<p> </p>
<p>#LI-REMOTE</p>
<p>#LI-JT1</p><div><div><div><p>At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.</p>
<p><em><span>Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank" rel="noopener noreferrer ugc">here</a>.</span></em></p></div><div>US based applicants only</div><div><span>$177,185</span><span>—</span><span>$364,795 USD</span></div></div></div><div><p><strong>Our Commitment to Inclusion:</strong></p>
<div>Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete <a href="https://forms.gle/sS24D4WboEKUZMQK6" rel="noopener noreferrer ugc" target="_blank">this form</a> for support.</div>
<div> </div>
<div><em>By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.</em></div></div>

Staff Software Engineer, Infrastructure Data Engineering

<div><p><strong>About Pinterest:</strong></p>
<p>Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.</p>
<p>Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the <a href="https://www.pinterestcareers.com/our-life/pinflex/" rel="noopener noreferrer ugc" target="_blank">flexibility</a> to do your best work. Creating a career you love? It’s Possible.</p>
<p>At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.</p>
<p>Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/" rel="noopener noreferrer ugc" target="_blank">here</a>.</p></div><p>We are looking for a Staff Machine Learning Engineer to lead the technical vision for our Ads Conversion Core Modeling team, building the state-of-the-art systems that power our global marketplace.</p>
<p> </p>
<p><strong>What you’ll do: </strong></p>
<ul>
<li>Lead the technical direction and development of state-of-the-art applied ML projects for ads conversion.  </li>
<li>Design and build large-scale DNN models to improve user action prediction with low latency.  </li>
<li>Mine text, visual, and user signals to better understand intention and infer interests from online activity.  </li>
<li>Use AI to accelerate analysis and iteration, while applying judgment and verification to ensure correctness and quality.  </li>
<li>Automate repeatable tasks such as documentation, reporting, and QA checks to speed up the development lifecycle.  </li>
<li>Coach and mentor engineers while collaborating with product and sales to design new ad products.</li>
</ul>
<p> </p>
<p><strong>What we’re looking for:</strong></p>
<ul>
<li>Bachelor's degree in Computer Science, Statistics, or a related field.</li>
<li>Minimum 6 years of industry experience building production ML systems at scale (Search, Recommendations, or Ranking).  </li>
<li>Minimum 2 years of experience leading technical projects or teams.  </li>
<li>Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.  </li>
<li>Experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.</li>
<li>Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.</li>
<li>High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final deliverables.</li>
<li>Strong mathematical foundation and experience with statistical methods and A/B testing. </li>
</ul>
<p> </p>
<p><strong>Relocation Statement: </strong></p>
<ul>
<li>This position is not eligible for relocation assistance. Visit our <a href="https://www.pinterestcareers.com/pinflex/" rel="noopener noreferrer ugc" target="_blank">PinFlex</a> page to learn more about our working model.</li>
</ul>
<p> </p>
<p><strong>In-Office Requirement Statement:</strong></p>
<ul>
<li>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.</li>
<li>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: San Francisco, Palo Alto, Seattle.</li>
</ul>
<p>#LI-HYBRID </p>
<p>#LI-SM4</p><div><div><div><p>At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.</p>
<p><em><span>Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank" rel="noopener noreferrer ugc">here</a>.</span></em></p></div><div>US based applicants only</div><div><span>$222,716</span><span>—</span><span>$389,753 USD</span></div></div></div><div><p><strong>Our Commitment to Inclusion:</strong></p>
<div>Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete <a href="https://forms.gle/sS24D4WboEKUZMQK6" rel="noopener noreferrer ugc" target="_blank">this form</a> for support.</div>
<div> </div>
<div><em>By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.</em></div></div>

Staff Machine Learning Engineer, Ads Conversion Core Modeling

<div><p><strong>About Pinterest:</strong></p>
<p>Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.</p>
<p>Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the <a href="https://www.pinterestcareers.com/our-life/pinflex/" rel="noopener noreferrer ugc" target="_blank">flexibility</a> to do your best work. Creating a career you love? It’s Possible.</p>
<p>At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.</p>
<p>Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/" rel="noopener noreferrer ugc" target="_blank">here</a>.</p></div><p><strong>About Pinterest</strong></p>
<p>Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. As a Pinterest employee, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping users make their lives better in the positive corner of the internet.</p>
<p><em>Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our </em><a href="https://www.pinterestcareers.com/pinflex/" rel="noopener noreferrer ugc" target="_blank"><em>PinFlex</em></a><em> landing page to learn more. </em></p>
<p><strong>Staff Machine Learning Engineer, Applied Science </strong></p>
<p>As part of <a href="https://www.pinterestlabs.com/" rel="noopener noreferrer ugc" target="_blank">Pinterest Labs</a>, you'll work on tackling new challenges in machine learning and artificial intelligence along with a world-class team of research scientists and machine learning engineers. In this role, you will play a central part in transforming how content is discovered on Pinterest by driving the research, architecture, scale and production deployment of Generative Recommendation System (GenRec) and Reinforcement Learning solutions.  You will conduct research that directly applies across Pinterest engineering teams, engage in external collaborations and mentoring, and perform research in the intersection of recommendation systems, LLMs, VLMs, and reinforcement learning.</p>
<p><strong>What you’ll do:</strong></p>
<ul>
<li>Contribute to cutting-edge AI/ML research that can be applied to Pinterest challenges across Ads, Discovery, Growth, and Search.</li>
<li>Identify, scope, architect, build, and deliver full, novel ML solutions from 0 to 1 at scale. Identify timelines and obtain resources needed.</li>
<li>Identify new and upcoming research opportunities by interacting with external and internal collaborators. Own long-term research strategy and plans to expand the impact of Applied Science.</li>
<li>Act as a technical leader in the applied AI space. <strong>p</strong>artner with Product, Engineering, and Data Science to translate complex engineering solutions into product impact.</li>
</ul>
<p><strong>What we’re looking for:</strong></p>
<ul>
<li>MS/PhD in Computer Science, or equivalent industry experience</li>
<li>Minimum 6 years of relevant industry experience</li>
<li>Hands-on experience with large-scale recommendation system and reinforcement learning applications; experience with LLM/VLM post-training is a plus</li>
<li>Technical leadership and experience in driving ambiguous research problems into production deliverables</li>
<li>Publications at top ML conferences (e.g. KDD, NeurIPS, RecSys, etc.)</li>
<li>Cross-functional collaborator and strong communicator</li>
</ul>
<p> </p>
<p><strong>In-Office Requirement Statement:</strong></p>
<ul>
<li>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.</li>
<li>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>
</ul>
<p> </p>
<p><strong>Relocation Statement:</strong></p>
<ul>
<li>This position is not eligible for relocation assistance. Visit our<a href="https://www.pinterestcareers.com/pinflex/" rel="noopener noreferrer ugc" target="_blank"> PinFlex</a> page to learn more about our working model.</li>
</ul>
<p>#LI-REMOTE<br /><span>#LI-DM57</span></p><div><div><div><p>At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.</p>
<p><em><span>Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank" rel="noopener noreferrer ugc">here</a>.</span></em></p></div><div>US based applicants only</div><div><span>$227,871</span><span>—</span><span>$469,147 USD</span></div></div></div><div><p><strong>Our Commitment to Inclusion:</strong></p>
<div>Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete <a href="https://forms.gle/sS24D4WboEKUZMQK6" rel="noopener noreferrer ugc" target="_blank">this form</a> for support.</div>
<div> </div>
<div><em>By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.</em></div></div>

Staff Machine Learning Engineer

<div><p><strong>About Pinterest:</strong></p>
<p>Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.</p>
<p>Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the <a href="https://www.pinterestcareers.com/our-life/pinflex/" rel="noopener noreferrer ugc" target="_blank">flexibility</a> to do your best work. Creating a career you love? It’s Possible.</p>
<p>At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.</p>
<p>Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/" rel="noopener noreferrer ugc" target="_blank">here</a>.</p></div><p>As a Machine Learning Engineer at Pinterest, you’ll develop and improve machine learning systems that power product experiences and discovery. You’ll partner with engineering, product and design teams to build, evaluate and iterate on scalable solutions that help Pinners find relevant, inspiring content. In this role, you’ll grow your technical expertise while contributing to reliable, high-impact systems.</p>
<p><br /><strong>What you’ll do:</strong></p>
<ul>
<li>Conduct applied machine learning research to address product and platform challenges at Pinterest.</li>
<li>Collect, analyze and synthesize data to develop data-driven machine learning models.</li>
<li>Write maintainable, efficient code and contribute to testing and code-review practices.</li>
<li>Apply machine learning techniques, including natural language processing and graph-based approaches, to modeling and ranking challenges across discovery, ads and search.</li>
<li>Design, build and test recommendation and engagement-prediction models that improve push, email and in-app notification experiences.</li>
<li>Develop and iterate on large-scale applied machine learning systems, using evaluation results to improve model performance and reliability.</li>
<li>Scope, implement and deliver solutions for moderately complex ML problems, escalating risks and tradeoffs as needed.</li>
<li>Experience applying machine learning or AI concepts through research, coursework, projects or internships.</li>
<li>Use AI to accelerate analysis and iteration while applying judgment and verification to ensure correctness and quality.</li>
</ul>
<p><strong>What we’re looking for:</strong></p>
<ul>
<li>Master's in Computer Science, ML, NLP, Statistics, Information Sciences or related field required</li>
<li>Machine Learning experience (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)</li>
<li>Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data</li>
<li>Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)</li>
<li>Cross-functional collaborator and strong communicator</li>
<li>Comfortable solving ambiguous problems and adapting to a dynamic environment</li>
<li>Experience in research and in solving analytical problems</li>
</ul>
<p><strong>In-Office Requirement:</strong></p>
<ul>
<li>This role will need to be in the office for in-person collaboration 2-3 weekdays per week and therefore needs to be within a commutable distance of <strong>Zurich</strong>.</li>
</ul>
<p><strong>Relocation Statement:</strong></p>
<ul>
<li>This position may be eligible for relocation assistance. Visit our <a href="https://www.pinterestcareers.com/pinflex/" rel="noopener noreferrer ugc" target="_blank">PinFlex</a> page to learn more about our working model.</li>
<li>Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" rel="noopener noreferrer ugc" target="_blank">here</a>.</li>
</ul>
<p>The minimum and maximum salary for this position is $133,600-153,600.</p>
<p>#LI-HYBRID</p>
<p>#LI-AG4</p><div><p><strong>Our Commitment to Inclusion:</strong></p>
<div>Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete <a href="https://forms.gle/sS24D4WboEKUZMQK6" rel="noopener noreferrer ugc" target="_blank">this form</a> for support.</div>
<div> </div>
<div><em>By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.</em></div></div>

University Grad Machine Learning Engineer 2027

<div><p><strong>About Pinterest:</strong></p>
<p>Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.</p>
<p>Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the <a href="https://www.pinterestcareers.com/our-life/pinflex/" rel="noopener noreferrer ugc" target="_blank">flexibility</a> to do your best work. Creating a career you love? It’s Possible.</p>
<p>At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.</p>
<p>Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/" rel="noopener noreferrer ugc" target="_blank">here</a>.</p></div><p>The User and Content Foundations org is responsible for deeply understanding our content, users and their interactions by generating high-quality, reusable signals and insights that power relevance and personalization across the platform. We work at the intersection of distributed machine learning, large multimodal models, data infrastructure, and product adoption to build foundational capabilities that support our partners, including Discovery, Search, Growth, and Ads. We are looking for an experienced Staff Machine Learning Engineer / Technical Lead who can drive the team’s technical direction, lead the team in building scalable content understanding systems, and make an impact on core Pinterest user and business outcomes.  In this role, you will lead ambiguous, high-impact scientific and engineering efforts that create reusable representations, models, and signals.  You’ll work across research, machine learning, infrastructure, and engineering domains to turn advances in VLMs, LLMs, multimodal learning and sequence modeling into impact.  This role is ideal for a deeply technical leader who combines strong ML judgment with product intuition. Expertise in visual representation learning and content understanding is especially valuable; experience with user understanding, recommender systems and LLMs is also highly relevant.</p>
<p><strong>What will you be doing:</strong></p>
<ul>
<li>Set the technical direction and multi-quarter strategy for foundational ML capabilities across visual representation learning, multimodal content understanding, and LLM-based personalization.</li>
<li>Lead high-impact scientific and technical initiatives from problem definition and research strategy through experimentation, productionization, and adoption.</li>
<li>Build reusable embeddings, representations, semantic signals, and ML infrastructure while advancing techniques such as VLMs, LLMs, sequence modeling, self-supervised learning, retrieval, and distillation.</li>
<li>Partner with Product, Data Science, Applied Science, and Engineering to translate foundational capabilities into product outcomes and influence cross-functional roadmaps and investments.</li>
<li>Establish rigorous practices for modeling, data pipelines, distributed training, inference, evaluation, experimentation, and operational excellence while mentoring engineers and scientists.</li>
</ul>
<p><strong>What we’re looking for:</strong></p>
<ul>
<li>Minimum 7 years of industry experience, including 2+ years of tech leading teams</li>
<li>MS or PhD degree in computer science, machine learning, or equivalent industry experience.</li>
<li>Publications at top machine learning, multimodal and/or data mining conferences (e.g., NeurIPS, ICML, CVPR, ECCV, ACL, KDD, SIGIR, etc.) or open-source ML experience</li>
<li>Hands-on experience with large-scale distributed training of generative models (LLMs, VLMs, sequence models).</li>
<li>Hands-on experience with distributed tooling for ML data pipelines (e.g. Spark, Hive, MapReduce)</li>
<li>Hands-on experience leading ambiguous ML and research efforts in building, applying and improving GenAI models for content understanding, search and recommendation systems.</li>
<li>Technical leadership and experience in setting direction for roadmaps that span modeling, data pipelines and productionization, and aligning stakeholders on priorities, trade-offs, and execution plans.</li>
<li>Excellent cross-functional communication and collaboration skills</li>
</ul>
<p><strong>Relocation Statement:</strong></p>
<ul>
<li>This position is not eligible for relocation assistance. Visit our<a href="https://www.pinterestcareers.com/pinflex/" rel="noopener noreferrer ugc" target="_blank"> PinFlex</a> page to learn more about our working model.</li>
</ul>
<p><strong>In-Office Requirement Statement:</strong></p>
<ul>
<li>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.</li>
<li>This role will need to be in the office for in-person collaboration 1-2 times/quarter and can be situated anywhere in the USA.<br /><br /><br /></li>
</ul>
<p>#LI-AK7<br />#LI-REMOTE</p><div><div><div><p>At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.</p>
<p><em><span>Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank" rel="noopener noreferrer ugc">here</a>.</span></em></p></div><div>US based applicants only</div><div><span>$189,308</span><span>—</span><span>$389,753 USD</span></div></div></div><div><p><strong>Our Commitment to Inclusion:</strong></p>
<div>Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete <a href="https://forms.gle/sS24D4WboEKUZMQK6" rel="noopener noreferrer ugc" target="_blank">this form</a> for support.</div>
<div> </div>
<div><em>By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.</em></div></div>

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