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>This role focuses on advancing the science and systems behind ML measurement, feature understanding, and causal inference at scale. The work spans areas such as production feature importance platforms, observational causal estimation in Pytorch, large-scale proxy metric development, and data-driven approaches to ML infrastructure efficiency. We're looking for an enthusiastic individual contributor to perform high-impact technical work across this space. This person will drive foundational innovations, own the end-to-end design of production ML systems, establish rigorous methodological standards, and partner cross-functionally to turn successful research into durable platform capabilities that raise the ceiling for the entire ML organization.</p>
<p> </p>
<p><strong>What you’ll do:</strong></p>
<p>We are looking for an experienced and highly capable Data &amp; Applied Scientist to help us drive step function improvements in our ML capabilities at Pinterest. </p>
<p>In this role, you will:</p>
<ul>
<li>Translate research-grade DS workflows (e.g., proxy metrics, staleness models) into production ML pipelines using Airflow, WandB &amp; Ray while establishing reusable patterns for other teams.</li>
<li>Apply and productionize causal inference methods using the production ML stack (propensity scoring, IPW, TMLE) to address high-stakes measurement questions beyond experimental capabilities. Build self-serve tooling to empower non-experts to derive rigorous causal insights at scale.</li>
<li>Partner with ML engineers and product teams to identify opportunities for improved tooling, metrics, and measurement methods, unlocking step-change improvements in model quality and business outcomes.</li>
<li>Leverage Pinterest's rich metadata and engagement signals to build data-driven frameworks, from feature importance to content deindexing, that improve platform efficiency and speed.</li>
<li>Design and build centralized ML platform tooling to improve feature and model creation, evaluation, and trust, including production systems that operate daily at scale across all models.</li>
</ul>
<p> </p>
<p><strong>What we’re looking for:</strong></p>
<ul>
<li>2+ years of hands-on experience as an applied scientist, ML engineer, research scientist or software engineer, with significant ML production experience.</li>
<li>Strong Python skills; experience with PyTorch or equivalent deep learning frameworks; familiarity with distributed compute (Spark, Ray). Ray specifically is a strong plus.</li>
<li>Enthusiasm for building tools and platforms that multiply the impact of an entire ML organization; not just solving one-off problems.</li>
<li>Deep ML theory knowledge with extremely strong fundamentals that can help us reason about ML models from first principles.</li>
<li>Proficiency in software development best practices including version control, code review, and reproducible ML pipelines.</li>
<li>Experience with workflow management tools (Airflow, Prefect, Jenkins, or similar) for reliable ML pipeline orchestration.</li>
<li>Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience.</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 3-5 times/quarter and therefore can be situated anywhere in the country.</li>
</ul>
<p> </p>
<p>#LI-NM4</p>
<p>#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>$114,297</span><span>—</span><span>$235,319 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>

Data Scientist II, ML Infrastructure

<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 Data Scientist for our Ads Delivery. 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.</p>
<p> </p>
<p><strong>What you’ll do:</strong></p>
<ul>
<li>Develop a deep, nuanced understanding of the Pinterest ads delivery, quantifying full funnel opportunities and risks.</li>
<li>Lead projects on: Ads Delivery opportunities across different funnel stages</li>
<li>Design and productionize robust, scalable ML and evaluation frameworks—spanning forecasting, recommendation, and causal inference.</li>
<li>Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact.</li>
<li>Collaborate across disciplines—Product, Engineering, Research, Business, and Design—translating complex data questions into actionable business insights.</li>
<li>Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence.</li>
</ul>
<p> </p>
<p><strong>What we’re looking for:</strong></p>
<ul>
<li>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.</li>
<li>Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling &amp; Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark.</li>
<li>Strong product intuition—ability to scope, question, and design the right solutions for ill-defined, high-impact business problems.</li>
<li>Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes.</li>
<li>Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences.</li>
<li>Track record mentoring and growing data talent at the staff/senior IC level.</li>
<li>Cross-functional leadership and the ability to align competing interests towards shared goals.</li>
<li>Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience</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 week and therefore needs to be in a commutable distance to the following offices: San Francisco, Palo Alto or Seattle.</li>
</ul>
<p> </p>
<p>#LI-NM4</p>
<p>#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>$164,695</span><span>—</span><span>$339,078 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 Data Scientist, Ads Delivery

<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 looking for a Sr. Staff Quantitative Product Researcher to lead the development and evolution of user-centered measurement across our consumer experience. As the volume of measurement asks grows, we need a seasoned researcher who can partner with Data Science and Engineering as an equal — not just contributing to metrics work, but guiding it end-to-end and shaping the direction of how we measure the Pinner experience.</p>
<p>In this role, you'll own the full arc of measurement work: identifying what we should be measuring, designing surveys that capture the constructs that matter, validating that our metrics are reliable and sensitive, guiding experimentation plans to prove they can move, and partnering with DS and Eng to build behavioral proxies or predictive models where they're needed. You'll also extend this work into how we evaluate and maintain the systems that depend on these metrics — informing when models need retraining, whether they generalize across user segments, and what levers actually move the outcomes we care about. You'll bring expertise in behavioral analysis, statistical modeling, survey methodology, and experimentation to strategic questions on the holistic Pinner experience, and you'll present findings to senior audiences and partner with leaders to turn learnings into strategy.<br /><br /></p>
<p><strong>What you’ll do:</strong></p>
<ul>
<li>Lead the development of user-centered metrics end-to-end: define the construct, design and validate the survey instrument, establish reliability and sensitivity, guide the experimentation plan to prove the metric can move, and partner with DS and Eng to build behavioral proxies or predictive models when appropriate</li>
<li>Extend measurement work into model stewardship — inform retraining decisions, evaluate generalizability across user segments, and stress-test where models do and don't hold up</li>
<li>Conduct deep-dive learning analyses to uncover the drivers and levers behind key metrics, and translate those into actionable direction for product and DS partners</li>
<li>Set and execute the learning agenda across a broad problem space — prioritize the questions that matter most, choose the right methods (surveys, behavioral analysis, quasi-experimental approaches, modeling), and work on the right project at the right time</li>
<li>Show up as an equal partner to Data Science and Engineering, shaping the direction of measurement work rather than executing against someone else's spec</li>
<li>Synthesize across behavioral analyses, experiment results, qualitative insights, and your own work to inform product and business decisions</li>
<li>Present to senior leadership and tailor socialization for those audiences</li>
<li>Partner with research managers to set quantitative research direction and mentor more junior quantitative researchers</li>
</ul>
<p> </p>
<p><strong>What we’re looking for:</strong></p>
<ul>
<li>7+ years of quantitative user research experience with large-scale consumer data, including a track record of leading metric development end-to-end — from construct definition through survey validation, experimental validation, and behavioral proxy/predictive modeling</li>
<li>Deep expertise in survey methodology (construct validity, reliability, sensitivity), statistical modeling, experimentation at scale, and behavioral analysis</li>
<li>Experience informing ML model evaluation and maintenance — retraining triggers, generalizability across segments, and known failure modes</li>
<li>Fluency in R or Python and SQL, and strong data visualization skills</li>
<li>Demonstrated ability to operate as a peer to Data Science and Engineering — guiding the direction of technical work, not just contributing to it</li>
<li>Proactive — identifies the important questions and problems even when stakeholders aren't asking, and brings partners along</li>
<li>Experience working horizontally across teams, developing strategy with xfn partners, and presenting to senior leadership</li>
<li>Experience successfully leveraging AI tools in the research process with proper discernment and a high quality bar</li>
<li>PhD preferred in a computational social science (economics, sociology, psychology), statistics, computer science, or related field — or equivalent practical experience</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 every 6-months and therefore can be situated anywhere in the country. </li>
</ul>
<p> </p>
<p>#LI-REMOTE</p>
<p>#LI-JD3</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>$163,639</span><span>—</span><span>$336,903 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>

Sr. Staff Quantitative Product Researcher

<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 Pinterest Labs group is dedicated to the development and research of applied machine learning. Our initiatives span a diverse range of AI/ML fields, including fundamental computer vision, multimodal large language models, multimodal representation learning, generative modeling, heterogeneous graph neural networks, and recommender systems. By building foundation ML models that utilize our extensive knowledge graph and billions of Pins, we aim to significantly enhance the core Pinterest product.</p>
<p>Our visual modeling team is currently seeking new members to focus on the advancement of vision-centric LLMs. We are building VLMs capable of perceiving intricate visual details and understanding user aesthetics to facilitate communication through visual assets using tools like multimodal search and text-to-image models. This role offers the opportunity to work with Pinterest's unique visual-text datasets to develop large-scale generative models for production. You will join the core visual pod, a collaborative group of approximately six engineers and a product prototyping team, to create specialized evaluation benchmarks and contribute to the broader research community.</p>
<p><strong>What you’ll do:</strong></p>
<ul>
<li>Prototype new model architectures for Pinterest VLMs. We’re looking for hands-on experience working with finetuning open-source LLM models and improve their visual perception and tool using capabilities.</li>
<li>Develop new evaluation benchmarks that tailors to vision-centric capabilities such as fashion style recommendations.</li>
<li>Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company.</li>
<li>Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc.</li>
<li>Publish and publicize your work via conferences, paper submissions, blog posts, etc. </li>
</ul>
<p><br /><strong>What we’re looking for:</strong></p>
<ul>
<li>Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of visual encoders and LLMs.</li>
<li>2+ years of industry computer vision experience.</li>
<li>M.S. or PhD in Machine Learning, Computer Science, or related areas.</li>
</ul>
<p><strong><br /></strong><strong>Nice to Have:</strong></p>
<ul>
<li>Publications at top ML conferences.</li>
<li>Experience using 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>
</ul>
<p><strong>In-Office Requirement Statement:</strong></p>
<ul>
<li>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.</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><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.<br /><br /><br /></li>
</ul>
<p> </p>
<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>$138,905</span><span>—</span><span>$285,982 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>

Machine Learning Engineer II, Visual AI

<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>Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development. Labs focuses on a broad variety of AI/ML initiatives, such as core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, recommender systems, etc. This is the group that develops foundation ML models that fully leverage the tens of billions of Pins and the associated knowledge graph to improve the core product.</p>
<p>We are currently hiring for the visual modeling team in Labs, which focuses on developing Pinterest Canvas. Canvas is a foundation text-to-image model developed internally for helping various visualization, inpainting, and outpainting products. In this role, you’ll get to work with Pinterest’s rich visual-text dataset to build large-scale generative models which are continuously being shipped to production to power visualization features. The core Canvas pod is a small group (~6 engineers along with a product prototyping team) inside of Labs, allowing for deep collaboration. For example, engineers working on the Canvas project also participate in the development of our core multimodal text &amp; image embeddings, as these are in turn used to condition the model in unique ways.<br /><br /></p>
<p><strong>What you’ll do:</strong></p>
<ul>
<li>Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model. We’re looking for hands-on experience working with diffusion text-to-image models and independent model implementation skills.</li>
<li>Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company.</li>
<li>Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc.</li>
<li>Publish and publicize your work via conferences, paper submissions, blog posts, etc. </li>
<li>Mentor more junior researchers or research interns within the Pinterest Labs organization.</li>
</ul>
<p><strong><br />What we’re looking for:</strong></p>
<ul>
<li>Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models.</li>
<li>5+ years of industry computer vision experience.</li>
<li>M.S. or PhD in Machine Learning, Computer Science, or related areas.</li>
</ul>
<p><strong>Nice to Have:</strong></p>
<ul>
<li>Publications at top ML conferences.</li>
<li>Experience using 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>
</ul>
<p><br /><br /></p>
<p><strong>In-Office Requirement Statement:</strong></p>
<ul>
<li>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.</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 />#LI-AK7</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>$161,263</span><span>—</span><span>$332,012 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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