About the job
About Poshmark
Poshmark stands at the forefront of the fashion resale marketplace, driven by a dynamic and engaged community of buyers and sellers. Our platform is designed to transform online selling into an enjoyable, social experience, empowering sellers to turn their closets into thriving businesses while showcasing their unique styles to the world. Since our inception in 2011, we have cultivated a community of over 130 million users and generated over $10 billion in Gross Merchandise Value (GMV), enabling sellers to earn substantial incomes, delighting buyers with exceptional deals and unique items, and contributing to a more sustainable fashion future. To learn more, visit www.poshmark.com or check our company news at newsroom.poshmark.com.
Our Big Data team plays a pivotal role within Poshmark, dedicated to crafting a world-class big data platform that extracts value from data for our organization and customers alike. We aim to democratize data, support rapid business growth, and establish robust data and machine learning pipelines to drive both existing and new critical business initiatives.
We invite innovative, creative, and passionate Machine Learning engineers to join our ML and Big Data Team. In this role, you will be instrumental in developing and owning next-generation algorithms and systems that will significantly impact our business and enhance the user experience for millions of our users.
Key Responsibilities
Analyze large datasets and research innovative algorithms/models to address intriguing business challenges.
Design and implement highly scalable machine learning applications capable of processing vast amounts of data.
Collaborate with diverse teams such as data science, business, and engineering to deliver data products powered by machine learning across the company.
Establish best practices and tools to ensure the reliable delivery of features.
Architect and optimize systems to guarantee horizontal scalability across all layers.
Ideal Candidate Profile
Solid foundation in Machine Learning with a deep understanding of algorithms and modeling techniques.
8+ years of overall software development experience, including at least 5 years of industry experience applying Machine Learning to real-world problems.
Exceptional coding skills and proficiency in multiple programming languages.

