Staff Data Scientist, Curation Ecosystem | Pinterest | San Francisco / Remote

 Staff Data Scientist, Curation Ecosystem | Pinterest | San Francisco / Remote

Staff Data Scientist, Curation Ecosystem

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.

Pinterest is the world’s leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. At Pinterest, Curation is a strategic initiative at the heart of the Pinner experience that enables pinners to create a life they love by discovering and curating their own taste. We do this through a combination of innovative product interfaces, and sophisticated recommendation systems that deliver both utility and delight to our Pinners.

We are looking for a Staff Data Scientist with strong product sense, good product taste, and machine learning and statistics to help advance Curation at Pinterest. In your role you will develop methods and models to explain why certain content is being promoted (or not) for a Pinner, and you will work on cutting edge zero to one product bets. You will work in a highly collaborative environment, and be responsible for partnering with a diverse set of cross-functional partners across Product, Engineering, Design, Research, and more. You are expected to develop a deep understanding of Pinterest Trends, Pinner Needs, our recommendation system, and generate insights and robust methodologies to answer the “why”. The results of your work will influence our development teams, and drive product innovation.

What you’ll do:

Build a deeper understanding of our Pinterest Curation ecosystem; understanding and quantifying the opportunities and Pinner needs around boards, trends, collages, and more.

Develop robust frameworks, combining online and offline methods, to comprehensively understand the outputs of our recommendations.

Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners.

Work cross-functionally to build relationships, proactively communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.

Relentlessly focus on impact, whether through influencing product strategy, advancing our north star metrics, or improving a critical process.

Mentor and up-level junior data scientists on the team.

What we’re looking for:

7+ 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

Strong interest and experience in recommendation systems and causal inference

Strong quantitative programming (Python/R) and data manipulation skills (SQL/Spark)

Ability to work independently and drive your own projects

Excellent written and communication skills, and able to explain learnings to both technical and non-technical partners

A team player eager to partner with cross-functional partners to quickly turn insights into actions

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 1-2 times/quarter and therefore can be situated anywhere in the country. This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-NM4

#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

$163,064—$335,720 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/6744643/staff-data-scientist-curation-ecosystem/?gh_jid=6744643

Staff Data Scientist, Personalization & Shopping | Pinterest | New York / Remote

 Staff Data Scientist, Personalization & Shopping | Pinterest | New York / Remote

Staff Data Scientist, Personalization & Shopping

New York / 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.

Pinterest is the world’s leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. At Pinterest, Shopping is a strategic initiative that aims to help Pinners take action by surfacing the most relevant content, at the right time, in the best user-friendly way. We do this through a combination of innovative product interfaces, and sophisticated recommendation systems.

We are looking for a Staff Data Scientist with experience in machine learning and causal inference to help advance Shopping at Pinterest. In your role you will develop methods and models to explain why certain content is being promoted (or not) for a Pinner. You will work in a highly collaborative and cross-functional environment, and be responsible for partnering with Product Managers and Machine Learning Engineers. You are expected to develop a deep understanding of our recommendation system, and generate insights and robust methodologies to answer the “why”. The results of your work will influence our development teams, and drive product innovation.

What you’ll do:

Ensure that our recommendation systems produce trustworthy, high-quality outputs to maximize our Pinner’s shopping experience.

Develop robust frameworks, combining online and offline methods, to comprehensively understand the outputs of our recommendations.

Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners.

Work cross-functionally to build relationships, proactively communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.

Relentlessly focus on impact, whether through influencing product strategy, advancing our north star metrics, or improving a critical process.

Mentor and up-level junior data scientists on the team.

What we’re looking for:

7+ 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.

Strong interest and experience in recommendation systems and causal inference.

Strong quantitative programming (Python/R) and data manipulation skills (SQL/Spark).

Ability to work independently and drive your own projects.

Excellent written and communication skills, and able to explain learnings to both technical and non-technical partners.

A team player eager to partner with cross-functional partners to quickly turn insights into actions.

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

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-NM4

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

$164,695—$339,078 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/7335976/staff-data-scientist-personalization-shopping/?gh_jid=7335976

Staff Machine Learning Engineer, Content Mining | Pinterest | Toronto / Remote

 Staff Machine Learning Engineer, Content Mining | Pinterest | Toronto / Remote

Staff Machine Learning Engineer, Content Mining

Toronto / 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.

Content Mining identifies the best sources to acquire content for Pinterest (websites, merchants, social accounts), optimizes how we acquire it, and extracts structured attributes from that content at high scale. Our work powers inspiring, accurate, and engaging Pins. This is a high performing end to end ML team, with a recent paper in KDD: “Cross-Domain Web Information Extraction at Pinterest”. We’re hiring a Staff ML Engineer to serve as the technical lead for a 5‑engineer team (4 MLEs + you). As a tech lead, you will define the multi‑quarter technical vision and roadmap, lead execution and mentor engineers. The majority of your time will be spent with hands‑on designing, training, and shipping ML systems—especially LLM/NLP models for extraction and

What you’ll do:

Technical leadership

Own the long‑term architecture, roadmap, and execution for source discovery, acquisition optimization, and content understanding.

Lead design reviews, set engineering standards, and drive cross‑team alignment with Product, Data, and Infra.

Mentor and uplevel MLEs through technical direction, pairing, and reviews.

Modeling and systems

Train/fine‑tune LLMs and NLP models for classification, extraction, and instruction‑following; design eval loops and guardrails.

Design features and frameworks for sharing features across models.

Productionize models for large-scale inference; drive latency, reliability, and cost efficiency (quantization, distillation, caching).

Data, experimentation, and quality

Establish offline/online evaluation, gold sets, and automated regressions; run A/B and canary/shadow launches.

Work with human and automated labeling sources to define data labeling standards.

Partner on data strategy, labeling/weak supervision, and feedback loops to expand coverage and improve precision/recall.

Operational excellence

Define and meet SLOs for data quality, model performance, and serving reliability; lead incident playbooks and postmortems.

Measure and drive downstream impact on revenue and engagement.

What we're looking for:

5+ years building ML products end‑to‑end, including 2+ years as a tech lead driving multi‑quarter roadmaps and cross‑functional execution.

Deep hands‑on experience with NLP/LLM training and inference (PyTorch, Python); strong grounding in evaluation, prompt/data design, and fine‑tuning.

Proven track record shipping models at scale: feature/data pipelines, online serving, monitoring/observability, and cost/perf trade‑offs.

Strong software engineering in Python with an eye for software engineering best practices.

Experience mentoring senior engineers and influencing partner teams.

Masters or PhD in ML related studies.

LLM efficiency techniques (LoRA/adapters, distillation, quantization, prompt caching) and cost control strategies.

MLOps at scale with tools like Airflow, Spark/Presto, Triton, vLLM.

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/quarter and therefore can be situated anywhere in the province of Ontario.

#LI-REMOTE

#LI-AK7

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/7261464/staff-machine-learning-engineer-content-mining/?gh_jid=7261464

Sr. Software Engineer, Backend | Pinterest | Toronto

 Sr. Software Engineer, Backend | Pinterest | Toronto

Sr. Software Engineer, Backend

Toronto 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 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

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

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

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

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/5572858/sr-software-engineer-backend/?gh_jid=5572858

Sr. Staff Machine Learning Engineer, Closeup Relevance | Pinterest | Palo Alto / Seattle

 Sr. Staff Machine Learning Engineer, Closeup Relevance | Pinterest | Palo Alto / Seattle

Sr. Staff Machine Learning Engineer, Closeup Relevance

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.

Pinterest helps more than half a billion users discover new ideas to help design their lives. Our users come to Pinterest to explore ideas and run more than 6 billion search queries every month. Many of these queries represent exploratory search intent and are broad, which means that the search system should be able to deeply understand this intent, and then help people explore content, personalize results, harness visual signals effectively, and show the most engaging content up front. In addition, the team also owns query refinements and modules that help Pinners narrow their search intent from broad exploratory queries, to help them narrow their results down. All of this means that Pinterest search presents a unique challenge quite unlike other search systems and the opportunity to innovate on a product that only Pinterest can build.

The Closeup Relevance team owns Closeup recommendations (a.k.a. related pins), which help pinners explore topics they are interested in and get continuous inspirations. This is the largest recommendation surface on Pinterest and we work with some of the largest datasets in the world, creating unique experiences for hundreds of millions of pinners. Our system serves billions of daily impressions and is critical for company business. We are looking for a highly motivated Staff ML engineer to work as a cross-team technical leader.

What you will do:

You will be working in a cross-team environment, with a lot of talented ML engineers. You will work with state-of-the-art recommendation tech stack and have the opportunity to lead innovation and/or redesign of the full recommendation funnel.

You will be a leader in ML innovations whose impact is felt across the organization

Work closely with other engineering teams in Pinterest to bring superior Closeup experience to our users, such as ATG, ML Platform, Closeup Product, Content Quality and Core Infrastructure

Develop an inspiring technical vision, and ambitious but grounded strategy for the team. Deliver outstanding results

Provide visibility for senior leadership into the team’s global impact.

Partner with stakeholders to expand impact across the company, including product management and data scientists.

Mentor and grow senior engineers on the team

Build a culture of innovations and excellence

What we are looking for:

7+ years of professional experience in Machine Learning

5+ years of proposing and delivering innovations from original research or adopting cutting edge ML research

3+ years of experience in leading large-scale and mature ML recommendation systems teams, in an end-to-end fashion.

Bachelor’s/Master’s degree in a relevant field such as computer science, or equivalent experience.

Thrives in ambiguity, skilled in defining and exploring open ended problems

Experience in setting and delivering technical directions at both team and organizational level

Expertise in machine learning modeling and infrastructure

Adept in statistics, backend, batch and realtime processing systems

Ability to drive the team roadmap end to end

A knack for product and impact on users of a consumer product.

Relocation Statement:

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

Relocation 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.

#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

$268,084—$469,147 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/6482944/sr-staff-machine-learning-engineer-closeup-relevance/?gh_jid=6482944

Director of Data Science, Ads Measurement & Attribution | Pinterest | San Francisco / Seattle

 Director of Data Science, Ads Measurement & Attribution | Pinterest | San Francisco / Seattle

Director of Data Science, Ads Measurement & Attribution

San Francisco / 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.

As the Director of Data Science for Ads Measurement & Attribution, you will set the vision and lead the science strategy behind how advertisers understand the value of Pinterest. You’ll own the roadmap for causal measurement, attribution, and incrementality—spanning first- and third-party solutions, experiment design (including incrementality studies), and model innovation that is privacy-safe and aligned with evolving industry standards. You’ll grow and lead a high-performing team of data scientists and analysts, partner tightly with Eng and Product, and represent Pinterest science externally with customers and the ecosystem.

What you’ll do:

Vision and strategy

Define and drive the end-to-end science strategy for ads measurement and attribution across on-platform, off-platform, and partner surfaces.

Establish a coherent framework that integrates incrementality testing, causal inference, calibrated attribution, MMM, and geo experimentation.

Champion privacy-centric methodologies (e.g., clean rooms, aggregation, differential privacy, conversion modeling under signal loss).

Causal measurement and experimentation

Lead the design and governance of lift studies where merchants run A/B tests to estimate lift and guide investment decisions.

Build standardized experiment design patterns, power calculators, guardrails, and experiment-quality diagnostics.

Develop causal estimators (e.g., CUPED, DR/DML, synthetic controls) and variance reduction techniques to improve sensitivity and speed to signal.

Attribution and modeling

Evolve our multi-touch and data-driven attribution approaches to be durable with cookie deprecation, ATT, SKAN, and cross-device fragmentation.

Partner with Eng to productionize calibrated models that reconcile observational and experimental evidence; define success metrics and calibration protocols.

Advance conversion modeling, identity-resilient matching, and probabilistic methods where deterministic signals are sparse.

Product and cross-functional leadership

Partner with Product and Engineering to shape the measurement product roadmap; translate science into advertiser-facing solutions and clear narratives.

Collaborate with Sales, Marketing Science, and Partnerships to position our methods with advertisers and measurement partners.

Engage with Legal/Privacy to ensure compliance and responsible AI practices across data usage and modeling.

Team building and talent development

Hire, lead, and mentor a diverse team of DS managers and senior ICs; foster a culture of scientific rigor, reproducibility, and impact.

Set standards for code quality, experimentation hygiene, documentation, and peer review across the DS org.

Influence and external representation

Represent Pinterest science in customer briefings, industry forums, and with third-party measurement partners and clean-room providers.

Contribute to publications, whitepapers, and internal tech talks that raise the scientific bar.

What we’re looking for:

Leadership and experience

10+ years of experience in data science, statistics, or applied ML, with substantial time in ads measurement, attribution, or experimentation at scale.

5+ years leading DS teams, including managing managers and senior ICs; proven track record of building high-performing, inclusive teams.

Demonstrated success driving cross-functional impact with Product, Engineering, Sales, and Legal/Privacy.

Exceptional communication skills—able to explain complex methods to executives and customers and to translate business needs into scientific work.

Technical and methodological depth

Strong foundation in causal inference and experimentation (A/B testing, geo experiments, quasi-experimental designs, variance reduction).

Hands-on experience with attribution and calibration (rule-based and data-driven MTA, counterfactual estimation, aggregation and identity challenges).

Familiarity with MMM and triangulation approaches that reconcile MMM, MTA, and lift tests.

Proficiency in Python or R; strong SQL; comfort reviewing production code and collaborating with platform/ML engineers.

Experience with privacy-centric measurement: clean rooms, aggregation frameworks, differential privacy, on-device/edge signals, and privacy regulations.

Product mindset

Evidence of turning science into durable, scalable products with clear customer value.

Fluency in metric design, north-star definitions, and guardrails that align with advertiser outcomes.

Experience with ad platforms, retail media, or e-commerce measurement.

Knowledge of identity resolution, SKAN/ATT, and browser privacy changes.

Publications or talks in causal inference, experimentation, or ads measurement.

Advanced degree in Statistics, Econometrics, CS, or related quantitative field.

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 in the San Francisco, Palo Alto, or Seattle offices.

Relocation Statement:

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

#LI-NM4

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

$269,306—$471,286 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/7371354/director-of-data-science-ads-measurement-attribution/?gh_jid=7371354

Director, Machine Learning Engineering, Programmatic Ads | Pinterest | San Francisco / Palo Alto / Seattle / Los Angeles

 Director, Machine Learning Engineering, Programmatic Ads | Pinterest | San Francisco / Palo Alto / Seattle / Los Angeles

Director, Machine Learning Engineering, Programmatic Ads

San Francisco / Palo Alto / Seattle / Los Angeles 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 one of the fastest growing online ad platforms, and our success depends on mining rich user interest data that helps us connect users with highly relevant advertisers/ products. We’re looking for a leader with experience in machine learning, data mining, and information retrieval to lead a team that develops new data-driven techniques to show the most engaging and relevant promoted content to the users. You’ll be leading a world-class ML team that is growing quickly and laying the foundation for Pinterest’s business success.

What you’ll do:

Manage and grow the engineering team, providing technical vision and long-term roadmap

Design and implement algorithms for real-time bidding, ad scoring/ranking, inventory selection and yield optimization on the DSP

Hire, mentor and grow a team of engineers. Set technical direction, manage project roadmaps, and actively guide team execution. Collaborate across Product, Engineering, Marketing and Sales – translating business goals into ML requirements and ensuring solutions meet cross-functional needs

Product strategy and advocacy. Define and evangelize the ML roadmap for programmatic products. Present findings and roadmaps to senior leadership, and work with stakeholders to align analytics projects with company goals (e.g. privacy-first personalization, new DSP features)

What we’re looking for:

M.S/ PhD degree in Computer Science, Statistics or related field

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

Experience in programmatic advertising or information retrieval contexts (RTB, DSP/SSP, search). Familiarity with ad campaign metrics, auction mechanics and yield optimization

Excellent at cross-functional collaboration and stakeholder communication

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 month and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle, Los Angeles.

#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

$314,580—$550,515 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/7354745/director-machine-learning-engineering-programmatic-ads/?gh_jid=7354745

Director of Data Science, Ads Delivery & Performance | Pinterest | Seattle / Remote

 Director of Data Science, Ads Delivery & Performance | Pinterest | Seattle / Remote

Director of Data Science, Ads Delivery & Performance

Seattle / 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.

Pinterest Ads Delivery & Performance is redefining how digital ads are delivered - challenging 20 years of assumptions to both protect the Pinner experience and grow durable revenue. We support all ad surfaces across Pinterest - Home Feed, Search, Related Pins, Shopping surfaces, Idea Streams, and beyond - each with unique marketplace and product dynamics. You’ll lead a high‑impact data science organization that partners deeply with Product, Engineering, Research, and other cross functional partners to build the next generation of advertising products and systems.

About the role We’re looking for a Director who is a leader of leaders and a systems thinker. You will set the strategy for ads delivery and quality, establish the measurement and decision frameworks, and scale a best‑in‑class team of data scientists. A core mandate for this role is to identify, instrument, and operationalize the input metrics that most directly drive ads delivery, quality, and performance - ensuring we are optimizing the levers that move outcomes, not just reporting on lagging KPIs.

What you’ll do:

Set strategy and outcomes

Define the multi‑year vision and roadmap for Ads Delivery & Performance across all Pinterest surfaces, aligning to company and Ads org priorities.

Establish clear north-star outcomes (e.g., long‑term revenue quality, retained advertiser value, Pinner experience) and the right cascade of input metrics and guardrails that drive them.

Make input metrics a first‑class operating system

Identify, define, and instrument the input metrics that most influence delivery and performance, such as: supply health and coverage, eligibility and match rate, win rate, fill rate, pacing and spend smoothness, auction/bid competitiveness, latency/SLA adherence, ranking/model freshness and coverage, feature quality, CTR/CVR leading indicators, frequency and ad load distribution, quality/relevance signals, and policy/trust frictions.

Build metric specs, ownership, alerting, and weekly business reviews so that teams operate to inputs (and understand their elasticities to outcomes like RPM, ROAS, advertiser retention, and Pinner satisfaction).

Lead an organization of leaders

Hire, develop, and inspire a diverse, high‑performance organization of data science managers and senior ICs; set crisp role definitions, growth paths, and succession planning.

Establish rigorous standards for experimentation, causal inference, and production analytics; ensure consistently trustworthy, decision‑grade outputs.

Partner to ship impact

Work hand‑in‑hand with Product and Engineering on marketplace, ranking, pacing, and quality systems (e.g., auction design, supply/demand balancing, relevance, cold‑start, ads load/frequency, shopping ads delivery).

Translate ambiguous business questions into structured analyses and roadmaps; ensure the org moves from insight to shipped change with measurable impact.

Elevate measurement and decision quality

Own the measurement strategy for ads quality and delivery: counterfactual measurement, lift and incrementality, experiment design, long‑term value, and guardrail monitoring for Pinner experience.

Improve our decision frameworks, define minimum statistical standards, and drive consistency in A/B testing, quasi‑experiments, and observational methods when experiments are impractical.

Communicate and align

Present complex analytical findings to executives and cross‑functional partners with clarity; drive alignment on trade‑offs across revenue, advertiser value, and Pinner experience.

Create transparent operating cadences (QBRs/MBRs, input metric reviews, launch reviews) that keep teams focused on the levers that matter.

What we’re looking for:

MS or PhD in a quantitative field (Computer Science, Statistics, Math, Engineering, Economics or related) or equivalent practical experience.

10+ years in Data Science, Algorithmic Engineering, or Machine Learning, with significant impact in digital advertising or large‑scale marketplaces.

5+ years directly managing data science organizations, including managing managers and scaling multi‑team groups in a technology company.

Deep experience with:

Statistical analysis and causal inference, experiment design, and measurement for complex marketplaces.

Production analytics and large‑scale data tooling (e.g., Python/R, SQL; Spark/Hive or similar).

Applied ML or relevance/ranking systems; familiarity with auction dynamics, pacing, bidding, and quality/relevance modeling.

Proven track record of establishing and operating through input metrics tied to business outcomes.

Excellent written and verbal communication; adept at influencing senior cross‑functional partners and executives.

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-NM4

#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

$242,634—$499,541 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/7344341/director-of-data-science-ads-delivery-performance/?gh_jid=7344341

Machine Learning Engineer, Core Engineering | Pinterest | San Francisco / Palo Alto / Seattle / Remote

 Machine Learning Engineer, Core Engineering | Pinterest | San Francisco / Palo Alto / Seattle / Remote

Machine Learning Engineer, Core Engineering

San Francisco / Palo Alto / Seattle / 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 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:

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)

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

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

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

$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.

https://www.pinterestcareers.com/jobs/6121450/machine-learning-engineer-core-engineering/?gh_jid=6121450

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

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

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 600 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, machine learning, statistics, or related field

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:

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

#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

$163,418—$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.

https://www.pinterestcareers.com/jobs/6121543/machine-learning-engineer-monetization-engineering/?gh_jid=6121543