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148 open positions matching criteria
Software Engineer II, Data Analytics & Engineering
Core Engineering
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. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Job Title: Software Engineer II, Data Analytics and Engineering Intro: We’re looking for a Software Engineer II, Data Analytics and Engineering to improve the quality, reliability and velocity of data science and product development at Pinterest. You’ll build scalable data foundations, analytics tooling and analysis pipelines that enable trusted, self-service access to datasets, insights and metric investigations across cross-functional teams. What you’ll do: Develop and document practical instrumentation and experimentation standards, then partner with product engineering teams to apply them to priority product development work. Build and improve scalable analysis pipelines and tooling that produce reliable insights at scale and strengthen understanding of key data structures and metrics. Create tools and processes that enable Data Scientists and Engineers to independently access trusted datasets, insights and metric definitions. Identify data quality and discoverability gaps, advocate for targeted improvements and contribute to reliable, well-governed data practices. Maintain clear documentation for tools, datasets, metrics and operating practices to make team data assets easier to use. Partner with Product, Engineering, Data Science, Data Engineering and Business Intelligence teams to communicate actionable insights and inform product improvements. Use AI to accelerate analysis, prototyping and iteration, while applying judgment and verification to ensure correctness, quality and responsible use. What we’re looking for: Minimum of 2 years of experience delivering analytics engineering or data solutions in a fast-paced, data-driven environment. Experience using SQL and Python, R or a comparable programming language to work with large, high-dimensional datasets, including nested data structures, window functions, query optimization and data partitioning. Experience building and operating data workflows, including workflow orchestration, ETL/ELT pipelines and DAG dependencies across complex datasets. Experience translating open-ended partner needs into clear, impactful technical objectives and collaborating across Product, Engineering, Data Science, Data Engineering and Business Intelligence teams. Demonstrated ability to use AI to improve speed and quality in day-to-day engineering workflows. Strong track record of critically evaluating and verifying AI-assisted work through testing, data validation, source-checking or peer review. High integrity and ownership: you protect sensitive data, avoid over-reliance on AI and remain accountable for final decisions and deliverables. Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics or a related discipline, 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 recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. This role will need to be in the office for in-person collaboration 1–2 times per month and therefore can be situated anywhere in the country. #LI-REMOTE #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 $123,696 — $254,667 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
View more...Software Engineer II, Data Analytics & Engineering
Core Engineering
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. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Job Title: Software Engineer II, Data Analytics and Engineering Intro: We’re looking for a Software Engineer II, Data Analytics and Engineering to improve the quality, reliability and velocity of data science and product development at Pinterest. You’ll build scalable data foundations, analytics tooling and analysis pipelines that enable trusted, self-service access to datasets, insights and metric investigations across cross-functional teams. What you’ll do: Develop and document practical instrumentation and experimentation standards, then partner with product engineering teams to apply them to priority product development work. Build and improve scalable analysis pipelines and tooling that produce reliable insights at scale and strengthen understanding of key data structures and metrics. Create tools and processes that enable Data Scientists and Engineers to independently access trusted datasets, insights and metric definitions. Identify data quality and discoverability gaps, advocate for targeted improvements and contribute to reliable, well-governed data practices. Maintain clear documentation for tools, datasets, metrics and operating practices to make team data assets easier to use. Partner with Product, Engineering, Data Science, Data Engineering and Business Intelligence teams to communicate actionable insights and inform product improvements. Use AI to accelerate analysis, prototyping and iteration, while applying judgment and verification to ensure correctness, quality and responsible use. What we’re looking for: Minimum of 2 years of experience delivering analytics engineering or data solutions in a fast-paced, data-driven environment. Experience using SQL and Python, R or a comparable programming language to work with large, high-dimensional datasets, including nested data structures, window functions, query optimization and data partitioning. Experience building and operating data workflows, including workflow orchestration, ETL/ELT pipelines and DAG dependencies across complex datasets. Experience translating open-ended partner needs into clear, impactful technical objectives and collaborating across Product, Engineering, Data Science, Data Engineering and Business Intelligence teams. Demonstrated ability to use AI to improve speed and quality in day-to-day engineering workflows. Strong track record of critically evaluating and verifying AI-assisted work through testing, data validation, source-checking or peer review. High integrity and ownership: you protect sensitive data, avoid over-reliance on AI and remain accountable for final decisions and deliverables. Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics or a related discipline, 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 recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. This role will need to be in the office for in-person collaboration 1–2 times per month and therefore can be situated anywhere in the country. #LI-REMOTE #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 $123,696 — $254,667 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
View more...Machine Learning Intern 2027 (Zurich)
University Engineering
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. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . As a Machine Learning Intern at Pinterest, you’ll apply machine learning and AI to product and engineering challenges. You’ll work with engineering, product and data teams to prototype, evaluate and improve ML-powered features and discovery experiences. Throughout your internship, you’ll contribute to real projects, learn how large-scale ML systems are developed and build practical skills with guidance from experienced engineers. What you’ll do: Own a scoped machine learning project from problem definition through experimentation, implementation and communication of results, with guidance from your manager and team Contribute to applied machine learning and AI research that informs Pinterest product experiences Collect, analyze and synthesize data to develop data-driven machine learning models Write clean, efficient and maintainable code, supported by appropriate documentation and testing Apply relevant machine learning techniques, including natural language processing or graph-based approaches, to modeling and ranking problems across discovery, ads and search Break down scoped technical problems, propose approaches and implement solutions with guidance from the team Deliver assigned project milestones, share progress and findings with teammates and seek guidance when needed Experience applying machine learning or AI concepts through research, coursework, projects or internships. Use AI to accelerate analysis and iteration while applying judgment and verification to ensure correctness and quality. What we are looking for: Working towards a Master's or PhD 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 In-Office Requirement: This onsite internship will be based in our Zurich office requiring a few days in office. Our program will run in a full-time capacity during typical business hours between Monday-Friday. This role will need to be in the office for in-person collaboration 2-3 weekdays per week and therefore needs to be within a commutable distance of Zurich . 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. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
View more...Software Engineering Intern 2027 (Zurich)
University Engineering
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. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We’re looking for inquisitive, collaborative interns to join our engineering teams. Working closely with mentors and product, design, data, and engineers, you’ll learn how large‑scale systems operate and play a meaningful role in building new technologies, features, and tools. Expect real projects, supportive teammates, and plenty of opportunities to explore ideas that make a difference for our teams and Pinners. What you’ll do: Complete assigned technical projects with attention to quality, incorporating feedback from your mentor, manager and peers Execute scoped technical tasks end-to-end that contribute to Pinterest products and infrastructure Deliver code that is well-documented, tested, and operable Share ideas, questions and perspectives clearly and respectfully while learning from feedback Build technical and professional skills through learning and development opportunities Collaborate with your team and contribute to production-oriented projects that support Pinterest’s goals Leverage opportunities to connect with leaders and colleagues across Pinterest and participate in intern program events Foundational exposure to AI concepts or AI-assisted software development through coursework, projects, internships or practical experience Interest in learning how to use AI-powered technologies responsibly to improve product development, while validating outputs through testing, review and engineering judgment What we’re looking for: This position requires current enrollment in a school or education program in which the individual is working towards a Bachelor’s in Computer Science or related technical field Obtain Bachelor's in Computer Science or related technical field by June 2028 Ability to demonstrate an understanding of computer science fundamentals, including data structures and algorithms. Familiarity using AI as a learning, productivity, and engineering tool, and as an iterative coding partner, to accelerate engineering work while exercising strong judgment around accuracy, security, and when to ask for help Experience with one or more programming languages such as Python, Java, JavaScript/TypeScript, Go, or C++, and familiarity with relevant frameworks, tools, or technologies such as React or similar. Technical requirements vary by team. Non-academic coding experience (i.e. hackathons, code challenges, personal projects, GitHub, Open Source, volunteer coding experience, conference participation, etc.) A curious nature with a desire to tackle and solve complex problem In-Office Requirement: This onsite internship will be based in our Zurich office requiring a few days in office. Our program will run in a full-time capacity during typical business hours between Monday-Friday. This role will need to be in the office for in-person collaboration 2-3 weekdays per week and therefore needs to be within a commutable distance of Zurich . 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. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
View more...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. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest helps Pinners discover and do what they love. The Content Foundation ML team is responsible for understanding the semantic meaning of Pinterest content and generating high-quality, reusable signals and insights that power relevance and personalization across the platform. We work at the intersection of machine learning, large multimodal models, data infrastructure, and product adoption to build foundational content understanding capabilities that support Discovery, Search, Growth, and Ads. We are looking for an experienced Engineering Manager who can drive the team’s technical direction, lead the team in building scalable content understanding systems, and make an impact on core Pinterest user and business outcomes. What will you be doing: Lead, mentor and grow a team of engineers and applied scientists in developing foundational content understanding signals, infrastructure and systems that are integral to key Pinterest products across Discovery, Search, Growth, and Ads. Provide thought leadership in content understanding and machine learning by setting a long-term technical vision for semantic signal generation, reusable foundational layers, and scalable model-powered infrastructure. Partner closely with product, data science, and downstream engineering teams to ensure these signals drive meaningful impact across Pinterest. Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals. Help the team solve difficult technical challenges such as: How to leverage the latest VLM and LLM technologies to understand the full semantic richness of Pinterest content and generate high-quality signals with strong precision, recall and coverage across multiple locales? How to build reusable foundational layers such as captions, summaries and semantic descriptors that can power multiple downstream use cases efficiently and at low infra cost? How to improve inference throughput, freshness and serving efficiency so that content understanding signals can keep up with millions of new Pins and evolving content every day? How to measure and improve the downstream impact of content understanding signals on relevance, personalization, engagement and ads performance across different surfaces? How to build robust monitoring, evaluation and debugging systems that ensure signal quality, accessibility, latency and freshness at scale? What we’re looking for: 7+ years of industry experience, including 2+ years of management experience. Masters degree in computer science, computer engineering, or equivalent work experience Publication at top machine learning and data mining conferences (e.g., NeurIPS, ICML, KDD, SIGIR) Experience with: Large scale distributed training and inference of LLM and VLM models. Distributed tooling for ML data pipelines, e.g. Hadoop, Spark. Leading ambiguous ML projects to build, apply and improve GenAI models for content understanding and recommendation systems. Proven technical leadership across both ML and Data systems, with experience setting direction for multi-quarter roadmaps that span modeling, data pipelines, and productionization, and aligning stakeholders on priorities, trade-offs, and execution plans. Excellent cross-functional communication and collaboration skills, building strong partnerships with product, data science, and partner ML teams to clarify ambiguous problem spaces, co-create solutions, and drive consensus with senior stakeholders. 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 can be situated anywhere in the USA. #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 $222,716 — $389,753 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
View more...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. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest helps Pinners discover and do what they love. The Content Foundation ML team is responsible for understanding the semantic meaning of Pinterest content and generating high-quality, reusable signals and insights that power relevance and personalization across the platform. We work at the intersection of machine learning, large multimodal models, data infrastructure, and product adoption to build foundational content understanding capabilities that support Discovery, Search, Growth, and Ads. We are looking for an experienced Engineering Manager who can drive the team’s technical direction, lead the team in building scalable content understanding systems, and make an impact on core Pinterest user and business outcomes. What will you be doing: Lead, mentor and grow a team of engineers and applied scientists in developing foundational content understanding signals, infrastructure and systems that are integral to key Pinterest products across Discovery, Search, Growth, and Ads. Provide thought leadership in content understanding and machine learning by setting a long-term technical vision for semantic signal generation, reusable foundational layers, and scalable model-powered infrastructure. Partner closely with product, data science, and downstream engineering teams to ensure these signals drive meaningful impact across Pinterest. Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals. Help the team solve difficult technical challenges such as: How to leverage the latest VLM and LLM technologies to understand the full semantic richness of Pinterest content and generate high-quality signals with strong precision, recall and coverage across multiple locales? How to build reusable foundational layers such as captions, summaries and semantic descriptors that can power multiple downstream use cases efficiently and at low infra cost? How to improve inference throughput, freshness and serving efficiency so that content understanding signals can keep up with millions of new Pins and evolving content every day? How to measure and improve the downstream impact of content understanding signals on relevance, personalization, engagement and ads performance across different surfaces? How to build robust monitoring, evaluation and debugging systems that ensure signal quality, accessibility, latency and freshness at scale? What we’re looking for: 7+ years of industry experience, including 2+ years of management experience. Masters degree in computer science, computer engineering, or equivalent work experience Publication at top machine learning and data mining conferences (e.g., NeurIPS, ICML, KDD, SIGIR) Experience with: Large scale distributed training and inference of LLM and VLM models. Distributed tooling for ML data pipelines, e.g. Hadoop, Spark. Leading ambiguous ML projects to build, apply and improve GenAI models for content understanding and recommendation systems. Proven technical leadership across both ML and Data systems, with experience setting direction for multi-quarter roadmaps that span modeling, data pipelines, and productionization, and aligning stakeholders on priorities, trade-offs, and execution plans. Excellent cross-functional communication and collaboration skills, building strong partnerships with product, data science, and partner ML teams to clarify ambiguous problem spaces, co-create solutions, and drive consensus with senior stakeholders. 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 can be situated anywhere in the USA. #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 $222,716 — $389,753 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
View more...Master's University Grad Data Scientist (USA)
University Engineering
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. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . With more than 640 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. 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 data science teams. We’re looking for a Data Scientist to help evolve and shape the future of our product -- inspiring Pinners and connecting them with actionable content, understanding advertisers and measuring the value Pinterest provides to them, and enabling our employees to evaluate potential product changes faster than ever before. You’ll apply quantitative analysis, statistical techniques, modeling and data mining while working cross-functionally with engineering and product partners. The results of your work will influence the team roadmap, identify actionable product opportunities, refine our experimentation platform, and drive key initiatives, turning your insights and analyses into real-world products. What you’ll do: Contribute to our product roadmap and mission - to bring everyone the inspiration to create a life they love - using data and exploratory analysis to understand user behavior and trends, and identify opportunities for product innovation. Design and implement core metrics that guide the team efforts and help design and evaluate A/B experiments that drive these metrics. Explore alternative experimentation techniques to help internal teams evaluate their ideas faster. Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. What we’re looking for: Master’s degree in statistics, mathematics, economics, applied sciences, computer science or related field. Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL and a scripting language (Python or R) experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields Excellent communication skills and the ability to explain learnings to both technical and non-technical partners Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability. Ability to connect data analysis to real business problems, in order to impact business performance. 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 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 $124,950 — $168,000 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. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
View more...Master's University Grad Data Scientist (USA)
University Engineering
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. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . With more than 640 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. 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 data science teams. We’re looking for a Data Scientist to help evolve and shape the future of our product -- inspiring Pinners and connecting them with actionable content, understanding advertisers and measuring the value Pinterest provides to them, and enabling our employees to evaluate potential product changes faster than ever before. You’ll apply quantitative analysis, statistical techniques, modeling and data mining while working cross-functionally with engineering and product partners. The results of your work will influence the team roadmap, identify actionable product opportunities, refine our experimentation platform, and drive key initiatives, turning your insights and analyses into real-world products. What you’ll do: Contribute to our product roadmap and mission - to bring everyone the inspiration to create a life they love - using data and exploratory analysis to understand user behavior and trends, and identify opportunities for product innovation. Design and implement core metrics that guide the team efforts and help design and evaluate A/B experiments that drive these metrics. Explore alternative experimentation techniques to help internal teams evaluate their ideas faster. Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. What we’re looking for: Master’s degree in statistics, mathematics, economics, applied sciences, computer science or related field. Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL and a scripting language (Python or R) experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields Excellent communication skills and the ability to explain learnings to both technical and non-technical partners Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability. Ability to connect data analysis to real business problems, in order to impact business performance. 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 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 $124,950 — $168,000 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. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
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