Master's Machine Learning Internship 2026 (USA) | Pinterest | San Francisco / Palo Alto / Seattle / New York

 Master's Machine Learning Internship 2026 (USA) | Pinterest | San Francisco / Palo Alto / Seattle / New York

Master's Machine Learning Internship 2026 (USA)

San Francisco / Palo Alto / Seattle / New York University Intern

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 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help 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.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

We offer 2 internship start dates:

May 18, 2026 - August 7, 2026

June 15, 2026 - September 4, 2026

As a Machine Learning Intern at Pinterest, you’ll work on tackling new challenges in machine learning and artificial intelligence. Throughout your internship, you’ll join our engineering teams as we maneuver through exponential growth and massive scale while building awesome products and features, creating visually rich experiences, spearheading the discovery problem, and pinpointing tomorrow’s engineering challenges.

What you’ll do:

Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems

Collect, analyze, and synthesize findings from data and build intelligent data-driven models

Write clean, efficient, and sustainable code

Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search

Scope and independently solve moderately complex problems

Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed

What we are looking for:

Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field

Machine Learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)

Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data

Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)

Experience in research and in solving analytical problems

Strong communicator and team player with the ability to find solutions for open-ended problems

Why Intern at Pinterest?

Meaningful Work: Contribute to projects that impact millions of users worldwide.

Mentorship: Learn from and be guided by experienced engineers and researchers in the field.

Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.

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 may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

The salary for this position is $11,000 monthly.

#LI-HYBRID

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/7210896/masters-machine-learning-internship-2026-usa/?gh_jid=7210896

PhD University Grad Machine Learning Engineer 2026 (USA) | Pinterest | San Francisco / Palo Alto / Seattle

 PhD University Grad Machine Learning Engineer 2026 (USA) | Pinterest | San Francisco / Palo Alto / Seattle

PhD University Grad Machine Learning Engineer 2026 (USA)

San Francisco / Palo Alto / Seattle University 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 570 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers help 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.

By applying to this role, you will be considered for multiple roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

This is a general posting for multiple roles open across our various ML teams. You will have the opportunity to work on a very large scope of problems in recommender systems, search, ads, ranking, natural language processing, graph representation learning, personalization, etc.

As a Machine Learning Engineer at Pinterest, you’ll work on tackling new challenges in machine learning and artificial intelligence. As you kickstart your career at Pinterest, you’ll join our engineering teams as we maneuver through exponential growth and massive scale while building awesome products and features, creating visually rich experiences, spearheading the discovery problem, and pinpointing tomorrow’s engineering challenges.

What you’ll do:

Contribute to cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems

Collect, analyze, and synthesize findings from data and build intelligent data-driven model

Write clean, efficient, and sustainable code

Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search

Design, build, and test models to predict engagement for notifications (push, emails, in-app notifications)

Build content recommendation systems to power our push, email, and in-app notifications

Work on state-of-the-art large-scale applied machine learning projects

Scope and independently solve moderately complex problems

What we’re looking for:

PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field required

Machine Learning experience (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)

Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)

Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data

Experience in research and in solving analytical problems

Strong communicator and team player with the ability to find solutions for open-ended problems.

Preferred Qualifications:

Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields

Interest in research and in applying ML to impactful real-world problems on the Pinterest product

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 may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.

#LI-HYBRID

#LI-EB1

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

$162,690—$214,060 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/7252807/phd-university-grad-machine-learning-engineer-2026-usa/?gh_jid=7252807

PhD Machine Learning Internship 2026 (USA) | Pinterest | San Francisco / Palo Alto / Seattle / New York

 PhD Machine Learning Internship 2026 (USA) | Pinterest | San Francisco / Palo Alto / Seattle / New York

PhD Machine Learning Internship 2026 (USA)

San Francisco / Palo Alto / Seattle / New York University Intern

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 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help 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.

As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

We offer 2 internship start dates:

May 18, 2026 - August 7, 2026

June 15, 2026 - September 4, 2026

What you’ll do:

Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems

Collect, analyze, and synthesize findings from data and build intelligent data-driven models

Write clean, efficient, and sustainable code

Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search

Scope and independently solve moderately complex problems

Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed.

What we’re looking for:

Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field

Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)

Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data

Experience in research and in solving analytical problems

Strong communicator and team player with the ability to find solutions for open-ended problems.

Preferred Qualifications:

Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields

Interest in research and in applying ML to impactful real-world problems on the Pinterest product

Why Intern at Pinterest?

Meaningful Work: Contribute to projects that impact millions of users worldwide.

Mentorship: Learn from and be guided by experienced engineers and researchers in the field.

Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.

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 may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

The salary for this position is $12,100 monthly.

#LI-HYBRID

#LI-EB1

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/7211004/phd-machine-learning-internship-2026-usa/?gh_jid=7211004

Sr. Staff Software Engineer, Programmatic Ads | Pinterest | San Francisco / Palo Alto / Seattle

 Sr. Staff Software Engineer, Programmatic Ads | Pinterest | San Francisco / Palo Alto / Seattle

Sr. Staff Software Engineer, Programmatic Ads

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.

We're seeking a talented Senior Staff Software Engineer to take on a leadership role within the Programmatic Ads team. You will lead critical efforts within the team to build high throughput, low latency, solutions which power Pinterest ads business with third party partners. You will build the team roadmap and leverage state-of-the-art serving infrastructure to efficiently and effectively serve ads to Pinterest users across all surfaces, via fulfillment from third party buyers leveraging programmatic ads standards.

The Programmatic Ads team integrates with external demand partners (DSPs, SSPs, etc) through OpenRTB. We drive performance optimization (latency, conversion, engagement, fill rate, etc) for our programmatic ad products. We are also responsible for building internal tools to better enable cross-functional teams.

What you’ll do:

Take on the challenge of defining and executing the technical strategy for building, scaling, and modernizing our third party ads serving infrastructure

Rearchitect and refine the infrastructure to achieve greater scalability, freshness, and performance handling billions of ads and millions of QPS

Lead the collaboration with ML, product, infra, and other partner teams to evaluate the infra requests and make funding decisions

Lead mission critical initiatives involving 15-25 engineers and directly influence their day to day work through mentorship and leadership

What we’re looking for:

BS (or higher) degree in Computer Science, or a related field

8+ years of professional experience as a hands-on engineer and technical leader leading multiple projects

5+ years of relevant industry experience within the ads domain and distributed systems

Rich experience in working cross functionally to drive alignment, oversee execution, and secure deliverables

Hands on experience in solving complex scaling, latency, or low-level system performance problems in high-volume online serving systems

Knowledge of industry best practices and trends, and proven track record employing such solutions

Experience in mentoring, guiding and up-leveling junior engineers

Experience solving end-user problems and envisioning solutions to improve their productivity

Proficiency in at least one of the system languages (Java, Python)

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 time per week] and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Seattle

Relocation Statement:

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

#LI-HYBRID

#LI-KBF

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

$235,964—$412,937 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/6808719/sr-staff-software-engineer-programmatic-ads/?gh_jid=6808719

Staff Data Scientist, Ads Performance | Pinterest | San Francisco / Remote

 Staff Data Scientist, Ads Performance | Pinterest | San Francisco / Remote

Staff Data Scientist, Ads Performance

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.

Understanding and improving how we optimize ads through the ads delivery funnel 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 optimization. You will be a key member of an organization of talented data scientists innovating on ads delivery.

What you’ll do:

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.

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.

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

Direct involvement in the evaluation, refinement, and deployment of ads optimization models for ads delivery systems.

Proficiency in leveraging large datasets for performance analysis and gap identification.

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

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 times per week and therefore needs to be in a commutable distance from one of the following offices: San Francisco, CA or Seattle, WA.

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

$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/7435596/staff-data-scientist-ads-performance/?gh_jid=7435596

Staff Data Scientist, Marketing Science | Pinterest | San Francisco / Seattle

 Staff Data Scientist, Marketing Science | Pinterest | San Francisco / Seattle

Staff Data Scientist, Marketing Science

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.

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Brands and products are a critical piece of this journey, enabling Pinners to move easily from inspiration to action and advertisers to realize value in connecting with users with high commercial intent.

As Pinterest continues to scale, we need insightful analyses and actionable recommendations to help maximize value to both Pinners and advertisers. Tasked with such vision, we are looking for data scientists to jump start Pinterest’s Marketing Science team. You will take end-to-end ownership of designing, researching, building, and delivering data products as well as collaborate with XFNs to formulate, experiment, and evolve Pinterest’s best practice guides to advertiser performance. You will support strategic planning, marketing events, earnings releases, and other efforts with powerful data narratives.

What you’ll do:

Research and analyze what drives performance on our platform for advertisers.

Monitor key trends in ads performance to identify and scale platform-level improvement opportunities and/or flag and mitigate risks of reduction.

Equip the business with data-backed recommendations that deliver the strongest performance outcomes, tailored to key advertiser segments, defined by dimensions including marketing objective, campaign type or measurement source of truth, etc.

Creating and tracking metrics around advertiser value.

Identify the right framework to quantify the value Pinterest provides to advertisers, and drive XFN alignment on implement and monitor those metrics as north stars of success.

Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc.

Leadership: Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance.

What we’re looking for:

MS or PhD in a quantitative field or equivalent experience

8+ years of experience applying data science to solve real-world problems on web-scale data

Domain expertise about ads platforms and products, particularly around measurement and performance

Strong fundamentals in statistics, particularly experimentation and causal inference

Proficiency in common data science coding languages such as SQL and Python.

Proven track record of driving data science projects and/or initiatives in a cross-functional team including both technical and non-technical stakeholders.

Strong communication skills. Explains work and thought processes clearly, concisely and convincingly.

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 1x week and therefore needs to be in a commutable distance from one of the following offices: Seattle, San Francisco and Palo Alto.

Relocation Statement:

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

#LI-NM4

#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

$193,759—$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/7381300/staff-data-scientist-marketing-science/?gh_jid=7381300

Staff Software Engineer, Product Safety | Pinterest | San Francisco / Seattle / Los Angeles / New York

 Staff Software Engineer, Product Safety | Pinterest | San Francisco / Seattle / Los Angeles / New York

Staff Software Engineer, Product Safety

San Francisco / Seattle / Los Angeles / New York 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.

What you’ll do:

Design, develop, and maintain high-performance, reliable, and scalable backend systems for private profiles, user blocking and other user safety features

Collaborate with front-end developers, UX/UI designers, product managers, and other stakeholders to deliver high-quality products

Mentor and guide junior engineers, fostering a culture of continuous learning and improvement

Participate in code reviews, architectural discussions, and technical roadmap planning

What we’re looking for:

8+ years of experience in software development, with a strong focus on backend engineering

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

Expertise in programming languages such as Python, Java, Go, or Node.js

Extensive experience with RESTful API design and development

Experience with front-end development

Bachelors/Masters Degree in Computer Science or a related field

Strong problem-solving skills and the ability to design scalable, high-performance systems

In-Office Requirement Statement:

This role will need to be in the office for in-person collaboration 1-2 times/per quarter and therefore can be situated in our offices in either Bay Area, Seattle, New York, or Los Angeles.

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

$208,454—$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/7403341/staff-software-engineer-product-safety/?gh_jid=7403341

Staff Software Engineer, Stream Processing Platform | Pinterest | Seattle / Remote

 Staff Software Engineer, Stream Processing Platform | Pinterest | Seattle / Remote

Staff Software Engineer, Stream Processing Platform

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.

We’re seeking a software engineer to help Pinterest build and lead the next generation of stream processing platform and infrastructure. You’ll be working on some of the most exciting big data open source technologies (Flink, Kafka, RocksDB, and more), at the scale of tens of millions of messages per second with terabytes of data to help Pinners discover and do what they love.

What you’ll do:

Lead the strategy and technical direction of Pinterest’s Streaming platform

Improve and customize the internals of open source Flink to meet our challenges at scale and actively participate in open source community

Build and scale stream processing frameworks and infrastructure to process millions of messages per second with terabytes of state

Work with internal customers on critical business use cases that rely on low latency stream processing

Provide thought leadership to the entire company on how real-time data should be processed and stored more reliably, quickly and efficiently at scale

Contribute to the team’s technical vision and long-term roadmap

What we’re looking for:

8+years of industry experience with a proven track record of technical excellence

5+ years of experience of building and support large scalable big data infrastructure/platform

4+ years of experiences in contributing to open-source Flink or streaming technologies

Deep knowledge of big data technologies (e.g.Flink, Spark, Hadoop, Parquet/ORC, Flink)

Experience in leading cross-team engineering efforts

Proficiency in one or more programming languages (Java, Scala, Python)

Experiences in Kubernetes and AWS technologies

BS+ 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-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/7239289/staff-software-engineer-stream-processing-platform/?gh_jid=7239289

Sr. Staff Software Engineer, Core Foundations | Pinterest | Seattle / Remote

 Sr. Staff Software Engineer, Core Foundations | Pinterest | Seattle / Remote

Sr. Staff Software Engineer, Core Foundations

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.

The Core Retrieval Infrastructure team is responsible for building and maintaining the large-scale, high-performance retrieval (search) platforms that power recommendations on Pinterest. These platforms offer several retrieval paradigms (token, embedding, hybrid (token + embedding), graph), and support all product surfaces on Pinterest including Homefeed, Search, Closeup, and Shopping.

What you’ll do:

Shape the technical strategy for retrieval platforms at Pinterest and guide the team to implement industry-leading advancements and address emerging product needs within Pinterest

Design and build large-scale, high-performance, reliable retrieval platforms, which index and serve 1B+ documents to 100M+ Pinners

Drive cross-team collaborations to innovate on the frontier of search and recommendations

Mentor senior engineers on the team and support them in honing their technical and leadership skills

What we’re looking for:

10+ years of relevant industry experience (4+ years in retrieval infrastructure)

2+ years of experience working as a technical lead, leading efforts across teams and organizations

Experience building large-scale, high-performance distributed systems supporting consumer applications, such as search, recommendations, or ads

Expertise in a compiled programming language, such as C++ (preferred), Java, or Rust

Bachelor’s degree in computer science, a related field 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 per half and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.

Relocation Statement:

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

#LI-REMOTE

#LI-KK6

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

$208,592—$429,454 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/7403570/sr-staff-software-engineer-core-foundations/?gh_jid=7403570

Principal Machine Learning Engineer, Ads Delivery | Pinterest | San Francisco / Palo Alto / Seattle

 Principal Machine Learning Engineer, Ads Delivery | Pinterest | San Francisco / Palo Alto / Seattle

Principal Machine Learning Engineer, Ads Delivery

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. In this role, you will be responsible for developing and executing a vision for the evolution of the Pinterest marketplace. You will design and implement systems that improve the ads delivery funnel, experiments that shape the utility function, auction mechanism design, ad allocation and for deriving new insights through analysis of the marketplace dynamics. In short, this is a unique position, where you’ll get the freedom to work to bring together pinners and partners in this unique marketplace.

What you’ll do:

Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.

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.

What we’re looking for:

Degree in Computer Science, Machine Learning, Statistics or related field.

10+ years of professional experience as a hands-on engineer and technical leader leading multiple projects.

Strong software engineering and mathematical skills with knowledge of statistical methods.

Hands-on experience with large-scale online e-commerce systems is a plus.

Background in computational advertising is preferred.

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

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

$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/6963868/principal-machine-learning-engineer-ads-delivery/?gh_jid=6963868

Distinguished Machine Learning Engineer, Monetization | Pinterest | San Francisco / Palo Alto / Seattle / New York

 Distinguished Machine Learning Engineer, Monetization | Pinterest | San Francisco / Palo Alto / Seattle / New York

Distinguished Machine Learning Engineer, Monetization

San Francisco / Palo Alto / Seattle / New York 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 Monetization ML Engineering organization, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. As a Distinguished Machine Learning Engineer, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack for Monetization. You will work on tackling new challenges in machine learning and deep learning to advance the statistical models that power ads performance and ads delivery that bring together Pinners and partners in this unique marketplace.

What you'll do:

Lead user-facing projects that involve end-to-end engineering development in both frontend and backend and ML

Improve relevance and increase long term value for Pinners, Partners, Creators, and Pinterest through efficient Ads Delivery.

Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost

Collaborate with product managers and designers to develop engineering solutions for user-facing product improvements

Collaborate with other engineering teams (infra, user modeling, content understanding) to leverage their platforms and signals

Champion engineering excellence and a data driven culture, mentor senior tech talent and represent Pinterest externally in the tech and AI communities.

What we’re looking for:

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

15+ years of working experience in engineering teams that build large-scale, ML‑driven, user‑facing products

Experience leading cross‑team engineering efforts that improve user experience in products

Understanding of an object‑oriented programming language such as Go, Java, C++, or Python

Experience with large‑scale data processing (e.g., Hive, Scalding, Spark, Hadoop, MapReduce)

Strong software engineering and mathematical skills, with knowledge of statistical methods

Experience working across frontend, backend, and ML systems for large‑scale user‑facing products, with a good understanding of how they all work together

Hands‑on experience with large‑scale online e‑commerce systems

Background in computational advertising is preferred

Excellent cross‑functional collaboration and stakeholder communication skills, with strong execution in project management

Relocation Statement:

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

In-Office 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/month and therefore can be situated anywhere in the country.

#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

$347,264—$607,712 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/7251486/distinguished-machine-learning-engineer-monetization/?gh_jid=7251486

Engineering Manager II, Ads ML Training Infrastructure | Pinterest | San Francisco / Palo Alto / Seattle

 Engineering Manager II, Ads ML Training Infrastructure | Pinterest | San Francisco / Palo Alto / Seattle

Engineering Manager II, Ads ML Training Infrastructure

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.

Pinterest is one of the fastest growing online advertising platforms. Continued success depends on the machine-learning systems, which crunch thousands of signals in a few hundred milliseconds, to identify the most relevant ads to show to pinners. You’ll join a talented team with high impact, which designs high-performance and efficient ML systems, in order to power the most critical and revenue-generating models at Pinterest.

What you’ll do:

Collaborate with stakeholders and partner teams across the organization to architect ads ML Training infrastructure solutions to unlock Pinterest ads models innovations.

Mentor engineers to develop their careers and achieve their goals, from early career through senior level, setting the technical vision, guiding the day-to-day execution, as well as fostering good team health and culture.

Lead the team to build the next-generation Pinterest Ads ML foundations. Opportunities to use cutting edge ML technologies including GPU, Cuda, Feature Store and LLMs to empower 100x bigger models with more enrichment model features.

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 tech lead experiences in 8+ people team (3+ years).

8+ years of relevant industry experience in leading the design of large scale & production ML infra systems and Model Training framework.

Deep knowledge with building distributed systems or recommendation infrastructure.

Strong cross-functional collaborator and communicator.

Strong people development skills. You have helped people grow in their careers.

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 times per week and therefore needs to be in a commutable distance from one of the following offices [SF, PA, SEA,].

Relocation Statement:

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

#LI-HYBRID

#LI-AG8

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$208,454—$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/6865656/engineering-manager-ii-ads-ml-training-infrastructure/?gh_jid=6865656

Manager II, Machine Learning Engineering, Ads Identity Modeling | Pinterest | San Francisco / Palo Alto / Seattle

 Manager II, Machine Learning Engineering, Ads Identity Modeling | Pinterest | San Francisco / Palo Alto / Seattle

Manager II, Machine Learning Engineering, Ads Identity Modeling

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.

Ads Identity Modeling (AIM) sits within the Ads Conversion Modeling group in the Ads Performance org and focuses on identity and conversion modeling that improves conversion ads performance and unlocks new optimization objectives in close partnership with Ads Measurement and ranking teams. We treat conversion data as first‑class: growing resilient conversion signals and amplifying their usage across Pinterest to drive measurable impact in ads delivery and beyond. The team owns core identity and conversion‑linked ML systems, including User Match Prediction (UMP), and is also responsible for building models that focus on driving incremental conversions.

What you'll do:

Lead the roadmap and technical direction for User Match Prediction (UMP)—from features and training data to model deployment—to increase match rate/quality and strengthen downstream attribution and optimization.

Define and productionize a model to generate a user match confidence score, and use it to optimize label weighting and feature construction in conversion models (e.g., oCPM/ROAS).

Develop and ship models that increase incremental conversions, partnering with Data Science and Product to set success criteria and measurement plans.

Partner with Ads Measurement, Ads Signals, Ranking, and ML Infra to translate identity improvements into reliable online impact and strong operational readiness.

Guide model architecture evolution (e.g., feature interactions, multi‑task learning, serving freshness) and iterate on UMP initiatives that expand coverage and resilience (CAPI, WAU attribution, IP‑loss mitigation).

Contribute to the longer‑term Identity Graph (IDG) collaboration (multi‑hop identifiers, candidate generation and ranking) to improve identity resolution and downstream utility.

Hire, mentor and grow ML engineers in ads quality and partner teams and help to uplevel ML talent across the company.

What we’re looking for:

MS or PhD degree in Computer Science, Machine Learning, Statistics or related field.

6+ years of industry experience with related background in Ads conversion modeling/products or Ads measurement modeling/science.

2+ years of experience as TLM or EM managing an engineering or applied science team.

Strong software engineering and mathematical skills with knowledge of machine learning.

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 once a week and therefore needs to be in a commutable distance from one of the following offices: San Francisco / Palo Alto / Seattle

Relocation Requirement Statement

This position is not eligible for relocation assistance.

#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

$222,716—$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/7362812/manager-ii-machine-learning-engineering-ads-identity-modeling/?gh_jid=7362812

Sr. Staff Software Engineering, Ads Serving Infrastructure | Pinterest | San Francisco / Palo Alto / Seattle / New York

 Sr. Staff Software Engineering, Ads Serving Infrastructure | Pinterest | San Francisco / Palo Alto / Seattle / New York

Sr. Staff Software Engineering, Ads Serving Infrastructure

San Francisco / Palo Alto / Seattle / New York 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 advertising platforms and our continued success depends on rapidly scaling our core revenue-generating systems. Specifically, we need 10X the scale of our campaign management, ad delivery, and machine learning platforms, while enabling developers inside Pinterest and external advertisers to build and iterate rapidly on new features.

We're seeking a talented Senior Staff Software Engineer to take the tech lead role of Ad Serving Platform team. You will lead the team to build a high throughput, low latency, ad serving system which empowers Pinterest ads business. You will build the team roadmap and leverage state-of-the-art serving infrastructure to efficiently and effectively serve ads to Pinterest users across all surfaces.

What you’ll do:

In this pivotal role, you will take on the challenge of defining and executing the technical strategy for scaling and modernizing our ad serving infrastructure.

Your efforts will include rearchitecting and refining the infrastructure to achieve greater scalability, freshness and performance handling billions of ads repository and millions of QPS.

You will lead the collaboration with ML, product, infra and other partner teams to evaluate the infra requests and make fund decisions.

You will be the tech lead of 10-20 engineers and directly influence their day to day work through mentorship and leadership.

What we’re looking for:

BS (or higher) degree in Computer Science, or a related field.

8+ years of professional experience as a hands-on engineer and technical leader leading multiple projects.

5+ years of relevant industry experience with Ads or Search Infrastructure and distributed systems.

Rich experience in working cross functionally to drive alignment, oversee execution and secure deliverables.

Hands on experience in solving complex scaling, latency, or low-level system performance problems in high-volume online serving systems.

Knowledge of industry best practices and trends, and use it to form a long-term plan to the team.

Passionate about building ads serving stack visibility and solving Ops / customer painpoints.

Experience in mentoring, guiding and upleveling junior engineers.

Experience solving end-user problems and envisioning solutions to improve their productivity.

Proficiency in at least one of the system languages (C++, Java, Python).

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 time per week] and therefore needs to be in a commutable distance from one of the following offices San Francisco, Seattle, Palo Alto, NYC.

Relocation Statement:

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

#LI-HYBRID

#LI-AG8

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

$245,402—$429,454 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/7022246/sr-staff-software-engineering-ads-serving-infrastructure/?gh_jid=7022246

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