We are looking for a Senior Data Scientist. 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.
• 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

• • 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 Statistics, Machine Learning, Forecasting, Econometrics or other related fields.
  • Experience solving problems within digital advertising is preferred.
  • Familiarity with online experimentation and its pitfalls.
  • A scientifically and statistically rigorous approach to analysis and data.  You rely on statistically valid approaches to problems and have 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, including Product and Machine Learning teams.
  • A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions.
  • 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.
  • Bachelor’s or Master’s degree in a relevant field such as Data Science, or equivalent experience.

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. 

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#LI-CH1

We are looking for inquisitive, well-rounded Backend engineers to join our Monetization engineering teams. Working closely with product managers, designers, data scientists, and backend engineers, you’ll play an important role in enabling the newest technologies and experiences as we scale and evolve. You will build robust frameworks & features. You will accelerate velocity for one of the world’s largest public cloud workloads. 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 the backend for 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
• Design, develop, and operate large scale, distributed systems and networks
• Work with Engineering customers to understand new requirements and address them in a scalable and efficient manner
• Actively work to improve the developer process and experience in all phases from coding to operation
• 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:

• 1+ years of industry backend development experience, building consumer or business facing products
• Proficiency in common backend tech stacks for RESTful API, online service, storage, caching and data processing
• Experience building & operating large scale distributed systems and/or networks. Bonus points if you enjoy deploying and operating large scale workloads on a public cloud footprint
• Experience in Python, Java, C++, or Go or another language and a willingness to learn
• 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
• 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).
• Bachelor’s/Master’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 1-4 times per year and therefore can be situated anywhere in Ontario.

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

#LI-HYBRID #LI-CH1

The Production Engineering organization at Pinterest is accountable for ensuring overall Pinterest availability as well as enhancing Engineering teams’ capability to design, build and operate robust systems at scale. We are hiring a Sr. SRE to join our Compute SRE team. This team is responsible for ensuring that all compute workloads run smoothly on Pinterest. We're building the future on kubernetes and our job is to connect it with what Pinterest needs.

Pinterest’s applications and infrastructure that handle billions of monthly page views and petabytes of data as Pinterest continues to grow and scale. As a Pinterest SRE, you will design and build systems, platforms, tools, frameworks and methodologies to assure the reliability of our large-scale distributed systems.

What You’ll Do:

• Tackle project challenges on EKS, such as implementing Karpenter. This work affects how every developer codes, tests, and improves their work
• Collaborate across various teams to drive projects forward using open-source tools
• Build a deep understanding of how Pinterest’s systems behave, scale, interact and fail, and use that insight to identity risks and opportunities for remediation
• Build tools and automation to eliminate toil and reduce operational overhead. Create frameworks, processes and best practices to be used across Pinterest Engineering
• Build meaningful, insightful and actionable SLIs
• Automate critical portions of Pinterest’s engineering processes, to minimize risk and maximize the speed of innovation
• Manage capacity and performance to help scale our infrastructure both on public and private clouds around the world
• Use AI for analysis of incidents, operational signals, and system behaviors to help identify patterns and generate plans and propose remediation approaches.
• Leverage AI to speed development of runbooks, automation workflows, reliability tooling by drafting, iterating, and refining approaches.

What We’re Looking For:

• Strong knowledge of Kubernetes (specially EKS), including deploy patterns, rollout safety, and core debugging workflows
• 4+ years of experience with programming languages (Python or Golang preferred)
• Strong experience managing projects and initiatives end-to-end
• Hands-on experience with AI-assisted development tools such as Cursor, GitHub Copilot or Claude for code generation, debugging, and documentation
• Demonstrated ability to write effective prompts to get high-quality, reliable outputs from LLMs
• 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
• Experience with technologies such as Terraform, Buildkite, and/or ArgoCD is required
• Bachelor’s or Master’s degree in a relevant field such as Computer Science, or equivalent experience

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

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-CH1

Understanding and improving how we deliver and optimize ads to Pinners is fundamental to Pinterest’s long-term success.  We’re looking for a data scientist to join our team in pushing the boundaries in ads delivery and optimization. You will be a key member of an organization of talented data scientists innovating on ads delivery.

What you’ll do:

We are looking for an experienced and highly capable Data Scientist to help us drive step function improvements in our ads delivery at Pinterest. In this role, you will:

• Strategy: Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platform's future.
• Experimentation: Improve our experimentation capabilities and tools for assessing our ad delivery system, advise on best practices, identify flaws, and build tools and frameworks for experiment analysis.
• Leadership: Lead and mentor peers, improving team output through continuous, candid feedback that recognizes strengths and identifies areas for growth. Be a technical leader for junior data scientists based in the Toronto office.
• Communication: Clearly and concisely communicate complex analytical findings and insights to stakeholders with varying technical backgrounds.
• Continuous Learning: Stay informed on the latest developments in data science, causal inference, and advertising technology to drive innovation.
• 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:

• 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data, preferred to have working knowledge of ads delivery and optimization systems.
• Proven ability to apply scientific methods to solve real-world problems on web-scale data
• Expertise in SQL and Python
• Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions
• Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams 
• Experience leading key technical projects and substantially influencing the scope and output of others
• Experience in digital ad delivery stacks preferred
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
• Bachelor’s or Master’s degree in a relevant field such as Data Science, or equivalent experience

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.

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-CH1 #LI-HYBRID

We are looking for an Engineering Manager to lead Verticalized Shopping - an end to end mobile and backend team that makes every Pin actionable, from first spark of inspiration to purchase. You will own the technical vision and execution for shopping experiences that cut across Ads, Content, and Growth, and pioneer how we use genAI to turn messy human inspiration into clear next steps for Pinners. Your team will move fast, ship experiments, and learn in the open to drive utility, retention and revenue, working closely with Product, Design, Data Science and our commerce partnerships. You will hire and grow high caliber engineers, set a high bar for craft and speed, and build simple systems and processes that let the team do the best work of their careers while shaping the future of commerce on Pinterest.

What will you be doing:

• Leading an end to end mobile and backend team that makes every Pin more shoppable and actionable
• Owning the technical roadmap for verticalized shopping across Ads, Content and Growth
• Pioneering how we use genAI to turn inspiration into clear next steps for Pinners
• Driving an experiment led culture that learns fast on utility, retention and revenue
• Hiring growing and inspiring high caliber engineers to do the best work of their careers
• Pioneer the use of generative AI to transform unstructured user inspiration into actionable, shoppable moments, elevating the end-to-end mobile and backend shopping experience.
• Integrate AI-driven personalization and recommendation systems to connect Pinners with relevant products, improving conversion rates and user satisfaction across Ads, Content, and Growth surfaces.
• Lead your team in rapidly designing, prototyping and scaling AI-powered experiments, while building the technical harness, context, retrieval, prompt orchestration, evaluation and guardrails, that makes LLM systems predictable, high quality and production ready.

What we’re looking for:

• 9+ years of experience in software engineering, 3+ years in engineering management leading end to end product teams
• A thought leader and cross functional partner who drives innovation and gets high performance from strong engineers
• Proven experience building large scale distributed systems and mobile experiences in consumer, ads or commerce domains
• Deep comfort with experiments, metrics and ambiguity - you use data and fast iteration to find product market fit
• Excitement about applied genAI and how it can turn content into action for Pinners, merchants and advertisers
• Demonstrated success leveraging generative AI or machine learning to build scalable consumer products, with a strong focus on experiment velocity and quality of recommendations.
• Proven ability to build the technology, processes and playbooks that harness LLMs effectively, giving models the right context and controls to produce reliable, high-quality outputs.
• Enthusiasm for creating frameworks and fostering a team culture that uses AI as a force multiplier accelerating learning, operational efficiency, and innovation in shopper engagement and commerce technology.

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

Relocation Statement:

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

In-Office Requirement Statement:

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

#LI-HYBRID

#LI-CH1

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

What you’ll do:

• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
• Work in a high-impact environment with quick experimentation and product launches
• Keeping up with industry trends in recommendation systems 

What we’re looking for:

• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
• M.S. or PhD in Machine Learning or related areas
• Expertise in scalable realtime systems that process stream data
• Passion for applied ML and the Pinterest product

Nice To Have:

• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

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

Relocation Statement: 

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

In-Office Requirement Statement:

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

#LI-REMOTE

We are looking for inquisitive, well-rounded Senior Full-Stack and Backend engineers to join our Monetization and Core 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.

We have several positions open across multiple teams, including opportunities on both the Product and Platform side of Pinterest.

What you’ll do:

• Build out the backend for 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
• Design, develop, and operate large scale, distributed systems and networks
• Work with Engineering customers to understand new requirements and address them in a scalable and efficient manner
• Actively work to improve the developer process and experience in all phases from coding to operation
• 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:

• 5+ years of industry backend development experience, building consumer or business facing products
• Proficiency in common backend tech stacks for RESTful API, online service, 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
• Experience leading or owning projects, mentoring others, or driving technical thought leadership
• Experience building & operating large scale distributed systems and/or networks. Bonus points if you enjoy deploying and operating large scale workloads on a public cloud footprint
• Experience in Python, Java, C++, or Go or another language and a willingness to learn
• 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.
• Bonus points if you have experience with any of the following (needs vary from team to team): Developer Enablement/Productivity or Internal Tooling, CI/CD, Generative AI/LLMs, Spark/Flink/Big Data technologies, Data Science/Analytics, Building Products or Internal Tools from Scratch

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.

#LI-HYBRID

#LI-DS3