
Discover and save creative ideas visually
Pinterest, headquartered in San Francisco, CA, is a visual discovery platform that allows users to save and share creative ideas through digital pinboards. With over 450 million monthly active users as of 2022, Pinterest has become a go-to platform for inspiration, particularly in lifestyle and DIY ...
Pinterest offers competitive salaries, equity options, generous PTO policies, and flexible remote work arrangements. Employees also benefit from welln...
Pinterest fosters a culture of creativity and inspiration, encouraging employees to explore new ideas and approaches. The company values visual discov...

Pinterest • San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
Pinterest is hiring a Machine Learning Engineer/Economist to enhance the efficiency of the Ads Marketplace. You'll build statistical models and production systems while leveraging your expertise in economic theory and data analysis. This role requires a strong background in machine learning and programming.
You have a strong theoretical background in economics and data analysis, ideally with experience in marketplace design. You are comfortable working alongside engineers to implement solutions that improve marketplace efficiency. Your hands-on approach allows you to engage deeply with the technical aspects of your projects, ensuring that theoretical concepts are effectively translated into practical applications.
You possess solid programming skills, particularly in Python, and have experience with machine learning frameworks. You understand the importance of statistical modeling and can apply these techniques to real-world problems. Your analytical mindset enables you to evaluate trade-offs and make data-driven decisions that enhance the performance of the Ads Marketplace.
You thrive in collaborative environments and enjoy working with cross-functional teams. Your communication skills allow you to articulate complex ideas clearly, making it easier for team members from different backgrounds to understand and contribute to your projects. You are passionate about using data to drive innovation and improve user experiences.
Experience with ad technology or online marketplaces is a plus. Familiarity with auction mechanisms and optimization techniques will help you excel in this role. You are eager to learn and adapt to new challenges, continuously seeking ways to enhance your skills and knowledge in machine learning and economics.
In this role, you will build statistical models and production systems aimed at improving the design and operations of the Pinterest Marketplace. You will tune marketplace parameters, optimize ad diversity, and implement auction systems to enhance advertiser outcomes. Your work will involve modeling long-term effects to reduce ad fatigue and improve overall marketplace efficiency.
You will collaborate closely with other engineers and product teams to ensure that your models align with business objectives and user needs. Your insights will guide the development of features that enhance the user experience for both Pinners and advertisers. You will also participate in ideation sessions, contributing your expertise in economics to shape the direction of projects from conception to launch.
Your role will require you to analyze data continuously, identifying trends and patterns that can inform decision-making. You will be responsible for presenting your findings to stakeholders, helping them understand the implications of your work on the overall success of the Ads Marketplace.
Pinterest offers a dynamic work environment where creativity and innovation are encouraged. You will have the opportunity to work on projects that impact millions of users worldwide, contributing to a platform that inspires creativity and connection. We provide competitive compensation and benefits, along with opportunities for professional growth and development.
Join us in our mission to bring inspiration to everyone and help shape the future of the Pinterest Marketplace. We value diverse perspectives and encourage you to apply even if your experience doesn't match every requirement. Together, we can create a platform that empowers users to discover and share their passions.
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