Staff Software Engineer, Capacity Engineering | Pinterest | San Francisco / Remote

 Staff Software Engineer, Capacity Engineering | Pinterest | San Francisco / Remote 

Staff Software Engineer, Capacity Engineering

San Francisco / Remote Engineering Regular

Description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

Pinterest is seeking a Staff Software Engineer, Capacity Engineering focused on managing and optimizing the ML infrastructure. The team is responsible for efficiently managing one of the largest-scale cloud-native infrastructures in the world. This role is highly impactful, as efficiency is an ongoing strategic priority for Pinterest. The role has direct visibility across Pinterest Engineering and with Engineering and company leadership. The team is looking for a candidate with a strong background in ML Infrastructure, focusing on efficiency and optimization.

What you’ll do

Manage the ML hardware capacity that powers the models running at Pinterest

Improve the efficiency of ML Infrastructure at Pinterest

Build develop and mature profiling and optimization capabilities for ML Infrastructure at Pinterest scale

Collaborate with ML Platform, Infrastructure Engineering and SRE teams in their mission to deliver highly available, resilient, secure and efficient ML foundations for Pinterest’s tech stack

What we’re looking for:

Deep understanding of GPU Architectures, Pytorch, etc.

Deep understanding of supporting parts of ML software stack like Scheduling, Data and Storage

Hands on experience with shared platforms like Kubernetes

Strong technical and performance engineering skills to collaborate with stakeholders on complex and ambiguous technical challenges

Experience building and managing highly available distributed applications at scale

Proficiency in software development languages such as Java, Python and C++

Excellent skills in communicating complex technical issues

Understanding of ML Models, Kernels and optimization opportunities

Hands-on experience with large, cloud-native multi-tenant platforms at Internet scale

Experience with AWS or similar cloud environments

Deep understanding of infrastructure capacity and performance

Bachelor’s degree in Computer Science, Engineering, or 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/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

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

#LI-REMOTE

#LI-JT1

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/7167271/staff-software-engineer-capacity-engineering/?gh_jid=7167271

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

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

Sr. Machine Learning Engineer, Computer Vision

San Francisco / Remote Engineering Regular

Description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

Within Pinterest, the Pinterest Labs organization focuses on applied ML research and development. Labs focuses on a broad variety of AI/ML initiatives, such as core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, recommender systems, etc. This is the group that develops foundation ML models that fully leverage the tens of billions of Pins and the associated knowledge graph to improve the core product.

We are currently hiring for the visual modeling team in Labs, which focuses on developing Pinterest Canvas. Canvas is a foundation text-to-image model developed internally for helping various visualization, inpainting, and outpainting products. In this role, you’ll get to work with Pinterest’s rich visual-text dataset to build large-scale generative models which are continuously being shipped to production to power visualization features. The core Canvas pod is a small group (~6 engineers along with a product prototyping team) inside of Labs, allowing for deep collaboration. For example, engineers working on the Canvas project also participate in the development of our core multimodal text & image embeddings, as these are in turn used to condition the model in unique ways.

What you’ll do:

Prototype new model architectures for Pinterest Canvas, our internal text-to-image generative model. We’re looking for hands-on experience working with diffusion text-to-image models and independent model implementation skills.

Read research papers, participate in group discussions, and help brainstorm our overall visual generative strategy at the company.

Help with collection of relevant visual training data for Pinterest Canvas, particularly to conduct RLHF, targeted fine-tuning, etc.

Publish and publicize your work via conferences, paper submissions, blog posts, etc.

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

What we’re looking for:

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

5+ years of industry computer vision experience.

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

Publications at top ML conferences.

In-Office Requirement Statement:

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

This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

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

#LI-REMOTE

#LI-AK7

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

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

US based applicants only

$161,263—$332,012 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

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

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

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

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

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

Machine Learning Engineer, Core Engineering

San Francisco / Palo Alto / Seattle / Remote Engineering Regular

Description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

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

What you’ll do:

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

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

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

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

Keeping up with industry trends in recommendation systems

What we’re looking for:

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

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

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

Nice to have:

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

Publications at top ML conferences

Expertise in scalable realtime systems that process stream data

Passion for applied ML and the Pinterest product

Relocation Statement:

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

#LI-SA1

#LI-REMOTE

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

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

US based applicants only

$138,905—$285,982 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

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

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

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

Sr. Machine Learning Engineer, Applied Research Science

San Francisco / Palo Alto / Seattle Engineering Regular

Description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

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

What you’ll do:

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

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

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

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

Keeping up with industry trends in recommendation systems

What we’re looking for:

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

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

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

Nice to have:

Publications at top ML conferences

Expertise in scalable realtime systems that process stream data

Passion for applied ML and the Pinterest product

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

Relocation Statement:

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

#LI-SA1

#LI-REMOTE

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

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

US based applicants only

$189,721—$332,012 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

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

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

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

Machine Learning Engineer, Monetization Engineering

San Francisco / Palo Alto / Seattle Engineering Regular

Description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.

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

What you’ll do:

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

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

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

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

Keep up with industry trends in recommendation systems

Leverage LLMs to enhance content understanding

What we’re looking for:

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

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

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

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

Nice to have:

Publications at top ML conferences

Expertise in scalable realtime systems that process stream data

Passion for applied ML and the Pinterest product

Background in computational advertising

Relocation Statement:

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

#LI-HYBRID

#LI-SM4

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

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

US based applicants only

$163,418—$285,982 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

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

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

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

Sr. Machine Learning Engineer, Monetization Engineering

San Francisco / Palo Alto / Seattle Engineering Regular

Description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

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

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

What you’ll do:

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

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

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

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

Keep up with industry trends in recommendation systems

Leverage LLMs to enhance content understanding

What we’re looking for:

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

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

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

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

Nice to have:

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

Publications at top ML conferences

Expertise in scalable realtime systems that process stream data

Passion for applied ML and the Pinterest product

Background in computational advertising

Relocation Statement:

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

#LI-HYBRID

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

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

US based applicants only

$189,721—$332,012 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

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

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

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

Staff Data Scientist, Curation Ecosystem

San Francisco / Remote Engineering Regular

Description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

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

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

What you’ll do:

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

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

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

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

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

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

What we’re looking for:

7+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data

Strong interest and experience in recommendation systems and causal inference

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

Ability to work independently and drive your own projects

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

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

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

Relocation Statement:

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

In-Office Requirement Statement:

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

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

#LI-NM4

#LI-REMOTE

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

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

US based applicants only

$163,064—$335,720 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

https://www.pinterestcareers.com/jobs/6744643/staff-data-scientist-curation-ecosystem/?gh_jid=6744643

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

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

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

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 Machine Learning Engineer, User Understanding | Pinterest | San Francisco / Remote

 Staff Machine Learning Engineer, User Understanding | Pinterest | San Francisco / Remote

Staff Machine Learning Engineer, User Understanding

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.

The User Understanding team develops state-of-the-art models and systems to deeply understand the evolving interests, intents and tastes of our 500M+ Pinterest users, which power the personalization of Pinterest products across Discovery (Homefeed, Search, Related Pins), Ads, and Growth. As the Staff Machine Learning Engineer of the User Understanding team, you will set technical vision, lead the team in building next-generation user understanding models, and partner cross-functionally to deliver more relevant and personalized experiences to our users.

What you'll do:

Lead and mentor a team of experienced machine learning engineers in developing advanced user understanding models and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.

Collaborate cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features.

Drive experimentation and adoption of new user understanding models with product teams across Pinterest, ensuring measurable end-to-end impact on key metrics.

Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.

Provide thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field.

What we’re looking for:

Hands-on experience developing and deploying large-scale machine learning systems in search, recommendation or advertising.

Demonstrated ML expertise with a proven track record of impactful solutions and a deep understanding of large scale distributed systems.

6+ years of industry experience in applied machine learning or closely related roles.

Strong technical leadership, including a passion for driving technical direction, system architecture, and designing robust, scalable ML solutions.

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

Relocation Statement:

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

In-Office Requirement Statement:

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

#LI-DM57

#LI-REMOTE

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

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

US based applicants only

$189,308—$389,753 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

https://www.pinterestcareers.com/jobs/7339274/staff-machine-learning-engineer-user-understanding/?gh_jid=7339274

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

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

Master's Machine Learning Internship Summer Term 2026 (Toronto) | Pinterest

 Master's Machine Learning Internship Summer Term 2026 (Toronto) | Pinterest

Master's Machine Learning Internship Summer Term 2026 (Toronto)

Toronto 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. 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.

Note to applicants: By applying to this role, you will be considered for multiple intern role openings across our various ML teams. Please submit only one application for the term you’re available to intern. Multiple applications may delay the process.

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.

This onsite internship will be based in our Toronto office requiring a few days in office. Our program will run from May 4, 2026 - August 21, 2026 in a full-time capacity during typical business hours between Monday-Friday In-Office

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 [2-3 weekdays per week] and therefore needs to be in a commutable distance from one of the following offices [Toronto].

Relocation Statement:

This position may be eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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

#LI-HYBRID

#LI-AG4

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/7268767/masters-machine-learning-internship-summer-term-2026-toronto/?gh_jid=7268767

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

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

Staff Data Scientist, Personalization & Shopping

New York / Remote Engineering Regular

Description

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

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

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

What you’ll do:

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

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

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

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

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

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

What we’re looking for:

7+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data.

Strong interest and experience in recommendation systems and causal inference.

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

Ability to work independently and drive your own projects.

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

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

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

In-Office Requirement Statement:

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

This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

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

#LI-REMOTE

#LI-NM4

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

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

US based applicants only

$164,695—$339,078 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

https://www.pinterestcareers.com/jobs/7335976/staff-data-scientist-personalization-shopping/?gh_jid=7335976