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Careers at Pinterest

Browse and filter through all verified positions currently open at Pinterest.

Total Company Roles105
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pinterest.comHQ: San Francisco, CA, USCEO: William J. Ready5116 employees

Pinterest, Inc. functions globally as a platform dedicated to visual discovery. Its core purpose is to empower individuals to unearth inspiration for various aspects of their lives, encompassing everything from culinary creations and personal style to home decor and do-it-yourself ventures. The platform facilitates this through diverse content formats, including video, product, and concept-based "Pins." Leveraging sophisticated visual machine learning, Pinterest provides personalized recommendations tailored to each user's unique preferences and interests. Established in 2008, the company was initially known as Cold Brew Labs Inc. before officially changing its name to Pinterest, Inc. in April 2012. Its corporate headquarters are located in San Francisco, California.

Sector:Internet Content & Information

All Openings (105)

Ordered by most recently published

Software Engineer II, Data Analytics & Engineering

On-sitefull timeMid-LevelSan Francisco, United States
Apply Now

About Pinterest: 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. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. 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. 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 here . Job Title: Software Engineer II, Data Analytics and Engineering Intro: We’re looking for a Software Engineer II, Data Analytics and Engineering to improve the quality, reliability and velocity of data science and product development at Pinterest. You’ll build scalable data foundations, analytics tooling and analysis pipelines that enable trusted, self-service access to datasets, insights and metric investigations across cross-functional teams. What you’ll do: Develop and document practical instrumentation and experimentation standards, then partner with product engineering teams to apply them to priority product development work. Build and improve scalable analysis pipelines and tooling that produce reliable insights at scale and strengthen understanding of key data structures and metrics. Create tools and processes that enable Data Scientists and Engineers to independently access trusted datasets, insights and metric definitions. Identify data quality and discoverability gaps, advocate for targeted improvements and contribute to reliable, well-governed data practices. Maintain clear documentation for tools, datasets, metrics and operating practices to make team data assets easier to use. Partner with Product, Engineering, Data Science, Data Engineering and Business Intelligence teams to communicate actionable insights and inform product improvements. Use AI to accelerate analysis, prototyping and iteration, while applying judgment and verification to ensure correctness, quality and responsible use. What we’re looking for: Minimum of 2 years of experience delivering analytics engineering or data solutions in a fast-paced, data-driven environment. Experience using SQL and Python, R or a comparable programming language to work with large, high-dimensional datasets, including nested data structures, window functions, query optimization and data partitioning. Experience building and operating data workflows, including workflow orchestration, ETL/ELT pipelines and DAG dependencies across complex datasets. Experience translating open-ended partner needs into clear, impactful technical objectives and collaborating across Product, Engineering, Data Science, Data Engineering and Business Intelligence teams. Demonstrated ability to use AI to improve speed and quality in day-to-day engineering workflows. Strong track record of critically evaluating and verifying AI-assisted work through testing, data validation, source-checking or peer review. High integrity and ownership: you protect sensitive data, avoid over-reliance on AI and remain accountable for final decisions and deliverables. Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics or a related discipline, 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 1–2 times per month and therefore can be situated anywhere in the country. #LI-REMOTE #LI-AG8 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. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only $123,696 — $254,667 USD Our Commitment to Inclusion: 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 this form for support. 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.

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Software EngineeringVia Greenhouse
Verified1 day ago

Software Engineer II, Big Data, tvScientific

Remotefull timeMid-LevelUnited States (Remote)
Apply Now

About Pinterest: 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. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. 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. 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 here . About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. As a Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization. What you'll do: Design and implement robust data infrastructure in AWS, using Spark with Scala Evolve our core data pipelines to efficiently scale for our massive growth Store data in optimal engines and formats, matching your designs to our performance needs and cost factors Collaborate with our cross-functional teams to design data solutions that meet business needs Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs Leverage and optimize AWS resources while designing for scale Collaborate closely with our Data Science and Product teams How we'll define success: Successful design and implementation of scalable and efficient data infrastructure Timely delivery and optimization of data assets and APIs High attention to detail in implementation of automated data quality checks Effective collaboration with cross-functional teams What we're looking for: Production data engineering experience Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala is preferred Experience in delivering significant technical initiatives and building reliable, large scale services Experience in delivering APIs backed by relationship-heavy datasets Familiarity with data lakes, cloud warehouses, and storage formats Strong proficiency in AWS services Expertise in SQL for data manipulation and extraction Excellent written and verbal communication skills Bachelor's degree in Computer Science or a related field Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs 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 Nice-to-haves: Experience in adtech Experience implementing data governance practices, including data quality, metadata management, and access controls Strong understanding of privacy-by-design principles and handling of sensitive or regulated data Familiarity with data table formats like Apache Iceberg, Delta Previous experience building out a Data Engineering function Proven experience working closely with Data Science teams on machine learning pipelines 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. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-SM4 #LI-REMOTE 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. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only $123,696 — $254,667 USD Our Commitment to Inclusion: 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 this form for support. 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.

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Data Engineering & BIVia Greenhouse
Verified1 day ago

Machine Learning Engineer II, Visual AI

On-sitefull timeMid-LevelSan Francisco, United States
Apply Now

About Pinterest: 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. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. 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. 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 here . 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. 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. What you’ll do: 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. Develop new evaluation benchmarks that tailors to vision-centric capabilities such as fashion style recommendations. Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company. Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc. Publish and publicize your work via conferences, paper submissions, blog posts, etc. What we’re looking for: Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of visual encoders and LLMs. 2+ years of industry computer vision experience. M.S. or PhD in Machine Learning, Computer Science, or related areas. 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. 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-AK7 #LI-Remote 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. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only $138,905 — $285,982 USD Our Commitment to Inclusion: 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 this form for support. 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.

View more...
AI / ML & Data ScienceVia Greenhouse
Verified1 day ago

Software Engineer II, Big Data, tvScientific

On-sitefull timeMid-LevelSan Francisco, United States
Apply Now

About Pinterest: 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. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. 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. 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 here . About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. As a Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. You will collaborate with our cross-functional teams to evolve our core data pipelines, design for efficiency as we scale, and store data in optimal engines and formats. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization. What you'll do: Design and implement robust data infrastructure in AWS, using Spark with Scala Evolve our core data pipelines to efficiently scale for our massive growth Store data in optimal engines and formats, matching your designs to our performance needs and cost factors Collaborate with our cross-functional teams to design data solutions that meet business needs Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs Leverage and optimize AWS resources while designing for scale Collaborate closely with our Data Science and Product teams How we'll define success: Successful design and implementation of scalable and efficient data infrastructure Timely delivery and optimization of data assets and APIs High attention to detail in implementation of automated data quality checks Effective collaboration with cross-functional teams What we're looking for: Production data engineering experience Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala is preferred Experience in delivering significant technical initiatives and building reliable, large scale services Experience in delivering APIs backed by relationship-heavy datasets Familiarity with data lakes, cloud warehouses, and storage formats Strong proficiency in AWS services Expertise in SQL for data manipulation and extraction Excellent written and verbal communication skills Bachelor's degree in Computer Science or a related field Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs 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 Nice-to-haves: Experience in adtech Experience implementing data governance practices, including data quality, metadata management, and access controls Strong understanding of privacy-by-design principles and handling of sensitive or regulated data Familiarity with data table formats like Apache Iceberg, Delta Previous experience building out a Data Engineering function Proven experience working closely with Data Science teams on machine learning pipelines 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. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-SM4 #LI-REMOTE 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. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only $123,696 — $254,667 USD Our Commitment to Inclusion: 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 this form for support. 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.

View more...
Data Engineering & BIVia Greenhouse
Verified1 day ago

Software Engineer II, Data Analytics & Engineering

Remotefull timeMid-LevelUnited States (Remote)
Apply Now

About Pinterest: 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. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. 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. 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 here . Job Title: Software Engineer II, Data Analytics and Engineering Intro: We’re looking for a Software Engineer II, Data Analytics and Engineering to improve the quality, reliability and velocity of data science and product development at Pinterest. You’ll build scalable data foundations, analytics tooling and analysis pipelines that enable trusted, self-service access to datasets, insights and metric investigations across cross-functional teams. What you’ll do: Develop and document practical instrumentation and experimentation standards, then partner with product engineering teams to apply them to priority product development work. Build and improve scalable analysis pipelines and tooling that produce reliable insights at scale and strengthen understanding of key data structures and metrics. Create tools and processes that enable Data Scientists and Engineers to independently access trusted datasets, insights and metric definitions. Identify data quality and discoverability gaps, advocate for targeted improvements and contribute to reliable, well-governed data practices. Maintain clear documentation for tools, datasets, metrics and operating practices to make team data assets easier to use. Partner with Product, Engineering, Data Science, Data Engineering and Business Intelligence teams to communicate actionable insights and inform product improvements. Use AI to accelerate analysis, prototyping and iteration, while applying judgment and verification to ensure correctness, quality and responsible use. What we’re looking for: Minimum of 2 years of experience delivering analytics engineering or data solutions in a fast-paced, data-driven environment. Experience using SQL and Python, R or a comparable programming language to work with large, high-dimensional datasets, including nested data structures, window functions, query optimization and data partitioning. Experience building and operating data workflows, including workflow orchestration, ETL/ELT pipelines and DAG dependencies across complex datasets. Experience translating open-ended partner needs into clear, impactful technical objectives and collaborating across Product, Engineering, Data Science, Data Engineering and Business Intelligence teams. Demonstrated ability to use AI to improve speed and quality in day-to-day engineering workflows. Strong track record of critically evaluating and verifying AI-assisted work through testing, data validation, source-checking or peer review. High integrity and ownership: you protect sensitive data, avoid over-reliance on AI and remain accountable for final decisions and deliverables. Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics or a related discipline, 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 1–2 times per month and therefore can be situated anywhere in the country. #LI-REMOTE #LI-AG8 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. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only $123,696 — $254,667 USD Our Commitment to Inclusion: 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 this form for support. 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.

View more...
Software EngineeringVia Greenhouse
Verified1 day ago

Software Engineer II, Full Stack

On-sitefull timeMid-LevelToronto, Canada
Apply Now

About Pinterest: 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. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. 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. 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 here . We are looking for inquisitive, well-rounded Full-stack engineers to join our Core or Monetization Engineering teams. Working closely with product managers, designers, and backend engineers, you’ll play an important role in enabling the newest technologies and experiences. You will build robust frameworks & features. You will empower both developers and Pinners alike. You’ll have the opportunity to find creative solutions to thought-provoking problems. Even better, because we covet the kind of courageous thinking that’s required in order for big bets and smart risks to pay off, you’ll be invited to create and drive new initiatives, seeing them from inception through to technical design, implementation, and release. What you’ll do: Build out full-stack Pinner-facing features to power the future of inspiration on Pinterest Contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that can scale to support millions of users Partner with design, product, and backend teams to build end-to-end functionality Put on your Pinner hat to suggest new product ideas and features Employ automated testing to build features with a high degree of technical quality, taking responsibility for the components and features you develop Grow as an engineer by working with world-class peers on varied and high impact projects What we’re looking for: 2+ years of industry full-stack development experience, building consumer or business facing products Bachelor’s or Master’s degree in a relevant field such as Computer Science, or equivalent experience Proficiency in one or more common backend and frontend tech stacks: e.g. Javascript, React, API, storage, caching and data processing Experience in following best practices in writing reliable and maintainable code that may be used by many other engineers Ability to keep up-to-date with new technologies to understand what should be incorporated Strong collaboration and communication skills 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 half and therefore can be situated anywhere in Ontario. #LI-HYBRID #LI-CH1 Our Commitment to Inclusion: 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 this form for support. 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.

View more...
Software EngineeringVia Greenhouse
Verified1 day ago

Site Reliability Engineer II, tvScientific

Remotefull timeMid-LevelUnited States (Remote)
Apply Now

About Pinterest: 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. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. 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. 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 here . About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. We are seeking a Site Reliability Engineer to help operate, scale, and continuously improve a cloud-native platform built on AWS, Kubernetes/EKS, and ArgoCD-driven GitOps workflows. This role will contribute to improving the reliability, scalability, automation, observability, and operational maturity of our infrastructure and delivery ecosystem. The ideal candidate is a hands-on engineer with solid production experience and a strong foundation in building and supporting resilient platforms using infrastructure as code, automation, and modern Kubernetes operational practices. What you’ll do: Ensuring the reliability, availability, and performance of production infrastructure and platform services Operating and scaling Kubernetes platforms, including governance and support for multi-tenant workloads Managing GitOps-based deployment workflows using ArgoCD and Helm Supporting infrastructure provisioning and change management through Terraform/Terragrunt Building and supporting CI/CD automation and deployment workflows using GitHub Actions Participating in incident response, root cause analysis, and post-incident improvement initiatives Reducing operational toil through scripting, tooling, and process automation Advancing observability practices across logs, metrics, traces, dashboards, and alerting Supporting secure secrets integration, IAM-aware operations, and platform guardrails Partnering closely with application, security, and platform teams to improve reliability and delivery outcomes What we're looking for: 4+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or Cloud Infrastructure Strong hands-on experience operating AWS in production environments Good expertise in Kubernetes, including cluster operations, troubleshooting, workload reliability, and platform administration Experience with Kubernetes multi-tenancy, including namespaces, RBAC, quotas, policies, and tenant isolation patterns Experience implementing and operating ArgoCD within a GitOps delivery model Strong hands-on experience with Helm Experience with Terraform/Terragrunt for infrastructure provisioning and environment management Solid scripting and automation skills using Bash and/or Python Experience building, maintaining, or supporting CI/CD pipelines, ideally using GitHub Actions Strong troubleshooting skills across Linux, containers, IAM, networking, and distributed systems Experience with monitoring, alerting, and observability in production environments Demonstrated ownership mindset with experience handling incidents and resolving production issues Strong collaboration and communication skills, with the ability to work effectively across engineering, security, and platform teams Bachelor’s degree in computer science, engineering, a related field or equivalent experience Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs 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 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. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-SM4 #LI-REMOTE 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. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only $114,297 — $235,319 USD Our Commitment to Inclusion: 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 this form for support. 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.

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Cloud, DevOps & SREVia Greenhouse
Verified1 day ago

Software Engineer, iOS

On-sitefull timeMid-LevelToronto, Canada
Apply Now

About Pinterest: 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. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. 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. 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 here . We are looking for inquisitive, well-rounded iOS engineers to join our [Platform / Product] engineering teams. Working closely with product managers, designers, and backend engineers, you’ll play an important role in enabling the newest technologies and experiences. You will build robust frameworks & features. You will empower both developers and Pinners alike. You’ll have the opportunity to find creative solutions to thought-provoking problems. Even better, because we covet the kind of courageous thinking that’s required in order for big bets and smart risks to pay off, you’ll be invited to create and drive new initiatives, seeing them from inception through to technical design, implementation, and release. What you’ll do: Build out Pinner-facing frontend features in iOS to power the future of inspiration on Pinterest Contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that can scale to support millions of users Partner with design, product, and backend teams to build end to end functionality Put on your Pinner hat to suggest new product ideas and features Employ automated testing to build features with a high degree of technical quality, taking responsibility for the components and features you develop Grow as an engineer by working with world-class peers on varied and high impact projects Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches) Leverage AI to synthesize information (summarize, distill themes) and automate repeatable tasks (documentation, reporting, QA checks) What we’re looking for: Deep understanding of iOS development and best practices in Objective C and/or Swift, e.g. xCode, app states, memory management, etc 2+ years of industry iOS application development experience, building consumer or business facing products Experience in following best practices in writing reliable and maintainable code that may be used by many other engineers Ability to keep up-to-date with new technologies to understand what should be incorporated Strong collaboration and communication skills Bachelor’s or Master’s degree in a relevant field such as Computer Science, or equivalent experience Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs. 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. 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 half and therefore can be situated anywhere in Ontario. #LI-HYBRID #LI-CH1 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. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here . Canada based applicants only $139,378 — $189,378 CAD Our Commitment to Inclusion: 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 this form for support. 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.

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Software EngineeringVia Greenhouse
Verified1 day ago

Sr. Data Scientist, Core

On-sitefull timeSeniorSan Francisco, United States
Apply Now

About Pinterest: 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. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. 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. 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 here . As a Data Scientist in our Core organization, 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 best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest What we’re looking for: 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R) Excellent communication skills and ability to explain learnings to both technical and non-technical partners A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions Bachelor’s degree in Computer Science, 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. #LI-HYBRID 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. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only $139,764 — $287,749 USD Our Commitment to Inclusion: 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 this form for support. 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.

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AI / ML & Data ScienceVia Greenhouse
Verified1 day ago

Machine Learning Engineer II, Responsible AI

Remotefull timeMid-LevelUnited States (Remote)
Apply Now

About Pinterest: 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. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. 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. 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 here . The Responsible AI team is part of the Advanced Technologies Group (ATG), Pinterest’s advanced machine learning team. ATG’s goal is to keep Pinterest at the forefront of machine learning technology across multiple use cases including recommendations, ranking, content understanding, and more. It is an applied team that works horizontally across the company on state of the art AI and ML and works on directly bringing that technology to the product in collaboration with product engineering teams. The team also publishes its work in applied research conferences, but the main goal of the team is to have a direct impact on business metrics. At Pinterest our goal is to inspire pinners (our users) to live the life they love. The product is powered by state of the art ML algorithms which are used to understand both the billions of visually rich items on the platform and the interests of our 535M+ monthly active users and recommend inspiring personalized content to them. What this means is that ML at Pinterest is not only multi-modal utilizing image, text, and graph signals as input, but it needs to operate at a very large scale and often in a real time interactive user experience. Pinterest is known for being a positive and inspirational place on the internet and we believe that inspiration begins with representation and belonging. The Responsible AI team is a horizontal team that collaborates across the company on various initiatives. These range from Generative AI alignment, evaluation, and mitigations - ensuring these models are safe, bias-free, and aligned with Pinterest’s vision and policies - to championing ML Fairness and developing user-facing features that enhance our product for all users. This includes launching groundbreaking features such as user-controllable skin tone , hair pattern search refinements, and more recently, body type . You’ll help shape forward-thinking projects, develop advanced ML approaches rooted in fairness and equitability, and pioneer responsible AI safeguards for emerging technologies. By joining this team, you’ll make a lasting impact on our Pinners, our business, and the evolution of ethical AI at Pinterest. What you'll do: execute on projects in the responsible AI frontier, to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest including generative AI. Collaborate with other engineering teams (trust and safety, user modeling, content understanding,) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest. Mentor junior engineers on the Responsible AI team and across the company on the R-AI space. Work with the team and senior leaders at the company to define and drive technical strategy in this area. What we're looking for: Extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology - spanning fairness, ethics, and broader societal considerations. Deep familiarity with cutting-edge ML architectures (e.g., transformer-based models, 2-tower architectures, LLMs) and their applications in large-scale Search and Recommender Systems. Proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale, bridging state-of-the-art research with tangible product impact. 2+ years working experience in the engineering teams that build large-scale ML-driven user-facing products Masters or PhD in Comp Sci or related fields Nice to have: Publications at top ML conferences Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration Expertise in scalable realtime systems that process stream data Passion for applied research and the Pinterest product Relocation Statement: This position is not eligible for relocation assistance. 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/quarter, and therefore can be situated anywhere in the country. #LI-HYBRID #LI-AK7 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. Information regarding the culture at Pinterest and benefits available for this position can be found here . US based applicants only $138,905 — $285,982 USD Our Commitment to Inclusion: 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 this form for support. 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.

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AI / ML & Data ScienceVia Greenhouse
Verified1 day ago

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