Friday, 26 December 2025

Software Engineer, Web | Pinterest | San Francisco / Palo Alto

 Software Engineer, Web | Pinterest | San Francisco / Palo Alto


Software Engineer, Web

San Francisco / Palo Alto Engineering Regular


Description

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.


As a Software Engineer in the Web Platform Team you will drive initiatives that empower developers to build modern world-class web experiences for our Pinners with high productivity, performance and quality. We’re looking for someone who is passionate about working up and down the stack, has a growth mindset and isn’t afraid to give their opinion on how we can improve. 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 robust frameworks and features that empower hundreds of developers and support millions of users.

Enable developers to work more effectively by improving foundational web architecture, builds, CI/CD and testing capabilities.

Drive changes that improve overall developer experience for all web engineers across Pinterest.

Identify site-wide challenges; propose, test, and ship solutions.

Champion and drive large-scale, cross-functional initiatives that improve the Web platform.

Increase web stability, scalability, performance and accessibility by implementing the best web development standards.

Mentor team members and participate actively in design and code reviews, team processes and architectural decisions.

What we’re looking for:


3+ years of experience in FullStack/Web development and a deep understanding of JavaScript, CSS, DOM, HTTP protocol and how the web works.

Expertise with technologies such as React, Redux (or other state management solutions), Relay, GraphQL, TypeScript, Jest and React Testing Library.

Good knowledge of build tools such as Webpack, Turbopack, or Vite.

Familiarity with Node.js, server-side rendering techniques, and frameworks such as Next.js.

Experience in Python, Java, C++, or Go or another language and a willingness to learn.

Track record of delivering large, cross-functional projects across multiple organizations and being a champion of developer experience, performance and quality.

Strong written and verbal communication skills and the ability to collaborate across teams to make platform improvements, test functionality, and evangelize adoption of platform features.

Love for Web and drive to keep up-to-date with new technologies, trends and best practices in client architecture.

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/week and therefore can commute to our San Francisco or Palo Alto office.

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

$145,524—$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.


https://www.pinterestcareers.com/jobs/5610055/software-engineer-web/?gh_jid=5610055

Sr. Data Scientist, Core | Pinterest | San Francisco / Remote

 Sr. Data Scientist, Core | Pinterest | San Francisco / Remote


Sr. Data Scientist, Core

San Francisco / Remote Engineering Regular


Description

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.


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.


https://www.pinterestcareers.com/jobs/6087213/sr-data-scientist-core/?gh_jid=6087213

Sr. Machine Learning Engineer, Computer Vision | Pinterest | San Francisco / Remote

 Sr. Machine Learning Engineer, Computer Vision | Pinterest | San Francisco / Remote


Sr. Machine Learning Engineer, Computer Vision

San Francisco / Remote Engineering Regular


Description

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.


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.


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 & image embeddings, as these are in turn used to condition the model in unique ways.



What you’ll do:


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.

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.

Mentor more junior researchers or research interns within the Pinterest Labs organization.


What we’re looking for:


Research engineers and scientists who have experience working with generative computer vision models, preferably various forms of diffusion models.

5+ years of industry computer vision experience.

M.S. or PhD in Machine Learning, Computer Science, or related areas.

Publications at top ML conferences.

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-REMOTE

#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

$161,263—$332,012 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.


https://www.pinterestcareers.com/jobs/6894747/sr-machine-learning-engineer-computer-vision/?gh_jid=6894747

Sr. Machine Learning Engineer, Applied Research Science | Pinterest | San Francisco / Palo Alto / Seattle

 Sr. Machine Learning Engineer, Applied Research Science | Pinterest | San Francisco / Palo Alto / Seattle


Sr. Machine Learning Engineer, Applied Research Science

San Francisco / Palo Alto / Seattle Engineering Regular


Description

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.


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


What you’ll do:


Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest

Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas

Use data driven methods and leverage the unique properties of our data to improve candidates retrieval

Work in a high-impact environment with quick experimentation and product launches

Keeping up with industry trends in recommendation systems

What we’re looking for:


4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)

End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)

Degree in computer science, machine learning, statistics, or related field

Nice to have:

Publications at top ML conferences

Expertise in scalable realtime systems that process stream data

Passion for applied ML and the Pinterest product

MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.

Relocation Statement:


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

#LI-SA1


#LI-REMOTE


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

$189,721—$332,012 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.


https://www.pinterestcareers.com/jobs/6121464/sr-machine-learning-engineer-applied-research-science/?gh_jid=6121464

Machine Learning Engineer / Economist, Ads Marketplace | Pinterest | San Francisco / Palo Alto / Seattle

 Machine Learning Engineer / Economist, Ads Marketplace | Pinterest | San Francisco / Palo Alto / Seattle


Machine Learning Engineer / Economist, Ads Marketplace

San Francisco / Palo Alto / Seattle Engineering Regular


Description

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.


Within the Ads Delivery team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. We are looking for a Machine Learning Engineer/Economist with a strong theoretical and data analysis background that understands market design concepts and has the engineering skills to bring them to market. We are looking for an economist who can get their hands dirty and work side by side with other engineers, to advance the efficiency of the Pinterest Marketplace. The nature of projects within this team require a deep understanding of trade-offs, founded on both economic theory and data analysis, from the ideation phase all the way to launch review.


What you’ll do:


Build statistical models and production systems to improve marketplace design and operations for Pinners, Partners, and Pinterest.

Tune marketplace parameters (e.g., utility function), optimize ad diversity and load, implement auctions, and model long‑term effects to reduce ad fatigue and improve advertiser outcomes.

Define and implement experiments to understand long term Marketplace effects.

Develop strategies to balance long and short term business objectives.

Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.

Application areas: marketplace performance analysis, advertiser churn/retention modeling, promotional bandwidth allocation, ranking/pricing/mechanism design, bidding/budgeting innovation, and anticipating second‑order effects for new ad offerings.


What we’re looking for:


Degree in Computer Science, Machine Learning, Economics, Operations Research, Statistics or a related field.

Industry experience in applying economics or machine learning to real products (e.g., ads auctions, pricing, marketplaces, or large‑scale recommendation/search systems).

Knowledge in auction theory, market design, and econometrics with excellent data analysis skills.

Strong software engineering and mathematical skills and proficient with statistical methods.

Experience with online experimentation and causal inference (A/B testing, long‑running experiments, or similar) in large‑scale systems.

Practical understanding of machine learning algorithms and techniques.

Impact‑driven, highly collaborative, and an effective communicator; prior ads or two‑sided marketplace experience strongly preferred.

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.

#LI-HYBRID


#LI-SM4


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

$189,721—$332,012 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.


https://www.pinterestcareers.com/jobs/7195341/machine-learning-engineer-economist-ads-marketplace/?gh_jid=7195341

Sr. Machine Learning Engineer, Monetization Engineering | Pinterest | San Francisco / Palo Alto / Seattle

 Sr. Machine Learning Engineer, Monetization Engineering | Pinterest | San Francisco / Palo Alto / Seattle


Sr. Machine Learning Engineer, Monetization Engineering

San Francisco / Palo Alto / Seattle Engineering Regular


Description

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.


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


Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.


What you’ll do:


Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest

Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas

Use data driven methods and leverage the unique properties of our data to improve candidates retrieval

Work in a high-impact environment with quick experimentation and product launches

Keep up with industry trends in recommendation systems

Leverage LLMs to enhance content understanding

What we’re looking for:


2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)

Degree in computer science, statistics, or related field; or equivalent experience

End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)

Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems

Nice to have:

M.S. or PhD in Machine Learning or related areas

Publications at top ML conferences

Expertise in scalable realtime systems that process stream data

Passion for applied ML and the Pinterest product

Background in computational advertising

Relocation Statement:


This position is not eligible for relocation assistance. 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

$189,721—$332,012 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.


https://www.pinterestcareers.com/jobs/6121551/sr-machine-learning-engineer-monetization-engineering/?gh_jid=6121551

Software Engineer II | Pinterest | Zurich

 Software Engineer II | Pinterest | Zurich


Software Engineer II

Zurich Engineering Regular


Description

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.


Pinterest is a visual discovery platform where people find inspiration and bring their passions to life. Shopping is a core part of this experience. We are looking for a Senior Software Engineer in the Shopping Platform Infrastructure organization. In this role, you will work on scaling our Shopping catalog systems by 10X, ensuring they are robust, reliable, and ready to power the future of Shopping on Pinterest. In addition, you will contribute to our company-wide Shopping strategy execution, enabling product discovery and driving business growth.


What you'll do


Scale the Shopping Platform infrastructure by 10X, supporting exponential growth in product listings, merchants, and user engagements.

Build large-scale, highly distributed systems for catalog ingestion, processing, enrichment, and retrieval, ensuring data is accurate, fresh and easy to access at massive scale.

Contribute to the technical excellence in data pipelines, real-time data processing, and information retrieval, leveraging state-of-the-art technologies such as Flink, Spark, TiDB, and more.

What we're looking for


2+ years of relevant industry experience with distributed systems and large-scale data processing.

Deep technical expertise in catalog management, data pipelines, and real-time data processing.

Experience building and owning large-scale, high-performance infrastructure powering shopping, recommendation, search, or other consumer-facing applications.

Proficiency in backend programming languages such as Java or C++.

A bias for action, innovation, and operational rigor in a fast-paced, dynamic environment.

Bachelor’s degree in a relevant field such as Computer Science, 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 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 week and therefore needs to be in a commutable distance from one of the following offices: Zurich.

#LI-HYBRID


#LI-JD1


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.


https://www.pinterestcareers.com/jobs/7403951/software-engineer-ii/?gh_jid=7403951

Sr Software Engineer | Pinterest | Zurich

 Sr Software Engineer | Pinterest | Zurich


Sr Software Engineer

Zurich Engineering Regular


Description

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.


Pinterest is a visual discovery platform where people find inspiration and bring their passions to life. Shopping is a core part of this experience. We are looking for a Senior Software Engineer in the Shopping Platform Infrastructure organization. In this role, you will work on scaling our Shopping catalog systems by 10X, ensuring they are robust, reliable, and ready to power the future of Shopping on Pinterest. In addition, you will contribute to our company-wide Shopping strategy execution, enabling product discovery and driving business growth.



What you'll do:


Scale the Shopping Platform infrastructure by 10X, supporting exponential growth in product listings, merchants, and user engagements.

Build large-scale, highly distributed systems for catalog ingestion, processing, enrichment, and retrieval, ensuring data is accurate, fresh and easy to access at massive scale.

Contribute to the technical excellence in data pipelines, real-time data processing, and information retrieval, leveraging state-of-the-art technologies such as Flink, Spark, TiDB, and more.


What we're looking for:


5+ years of relevant industry experience with distributed systems and large-scale data processing.

Deep technical expertise in catalog management, data pipelines, and real-time data processing.

Experience building and owning large-scale, high-performance infrastructure powering shopping, recommendation, search, or other consumer-facing applications.

Proficiency in backend programming languages such as Java or C++.

A bias for action, innovation, and operational rigor in a fast-paced, dynamic environment.

Bachelor’s degree in a relevant field such as Computer Science, 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 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 week and therefore needs to be in a commutable distance from one of the following offices: Zurich.

#LI-HYBRID


#LI-DL2


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.


https://www.pinterestcareers.com/jobs/7316265/sr-software-engineer/?gh_jid=7316265

Staff Machine Learning Engineer, Core Engineering | Pinterest | San Francisco / Remote

 Staff Machine Learning Engineer, Core Engineering | Pinterest | San Francisco / Remote


Staff Machine Learning Engineer, Core Engineering

San Francisco / Remote Engineering Regular


Description

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.


With more than 600 million users around the world and 400 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.


We are seeking talented Staff Machine Learning Engineers for multiple openings across our Core Engineering organization, including teams such as Search, Notifications, and Content & User Engineering. In these roles, you will drive the development of state-of-the-art applied machine learning systems that power core Pinterest experiences.


What you’ll do:


Design features and build large-scale machine learning models to improve user ads action prediction with low latency

Develop new techniques for inferring user interests from online and offline activity

Mine text, visual, user signals to better understand user intention

Work with product and sales teams to design and implement new ad products

What we’re looking for:


Degree in computer science, machine learning, statistics, or related field

6+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing

2+ years of experience leading projects/teams

Strong mathematical skills with knowledge of statistical methods

Cross-functional collaborator and strong communicator

In-Office Requirement Statement:


We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

Relocation Statement:


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

#LI-REMOTE


#LI-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

$189,308—$389,753 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.


https://www.pinterestcareers.com/jobs/6708983/staff-machine-learning-engineer-core-engineering/?gh_jid=6708983

Engineering Manager II, Big Data Storage | Pinterest | Palo Alto / Remote

 Engineering Manager II, Big Data Storage | Pinterest | Palo Alto / Remote


Engineering Manager II, Big Data Storage

Palo Alto / Remote Engineering Regular


Description

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.


We’re seeking an Engineering Manager to build and lead the next generation of Pinterest’s big data storage platform. You’ll grow and guide a team working with cutting-edge open source technologies—especially Apache Iceberg—operating at exabyte scale to power the data that helps Pinners discover and do what they love.


What you’ll do:


Own the technical vision and long-term roadmap of Pinterest’s exabyte data lake storage

Collaborate with stakeholders and partner teams across the organization to architect data lake storage and metadata management technologies to unlock big data and ML/AI innovations

Drive engagement and collaboration with open source communities, such as Iceberg, Spark, and Flink, to effectively address our scaling challenges

Act as a stalwart of technical quality and excellence on the team, ensuring the solutions we deliver have a high level of polish and reliability

What we’re looking for:


Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience

2+ years of management experience, or 3+ years tech lead experience in a 5+ person team

8+ years of relevant industry experience in leading the design of large scale & production distributed systems.

Deep knowledge with building distributed systems.

Strong cross-functional collaborator and communicator.

Strong people development skills.


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-HYBRID


#LI-AH2


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

$177,185—$364,795 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.


https://www.pinterestcareers.com/jobs/7437356/engineering-manager-ii-big-data-storage/?gh_jid=7437356