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Sr. Engineer, Machine Learning

Poshmark · Redwood City, California, USA

SeniorData and MLAll DepartmentsML & Data Engineering TeamPosted 5 months ago
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About this role

ABOUT POSHMARK Poshmark is the leading fashion marketplace where style comes alive through discovery, self-expression, and human connection. Powered by a vibrant community of 165 million members, Poshmark brings real people and taste to shopping through a social experience shaped by shared discovery. Buying and selling fashion feels simple, joyful, and personal, while every item tells its own story. Poshmark empowers sellers to grow meaningful businesses, keeps fashion in circulation longer, and gives shoppers access to unique and trusted finds, from everyday pieces to one-of-a-kind vintage and luxury. The Machine Learning team is a central player in the Poshmark organization. Our mission is to build a world-class machine learning platform to bring value out of data for us and for our customers. Our goal is to democratize data science and machine learning, support exploding business, and use machine learning to drive value across the chain (Search, personalization, fraud detection, catalog digitization to name a few). RESPONSIBILITIES: - Manage the entire ML lifecycle from data collection to deployment and monitoring - Collaborate across teams such as DS, QA, Infra and other engineering teams to productionize ML models - Write and optimize code for production environments, ensuring the robustness and reliability of ML services at scale - Manage and support current solutions while evolving them to incorporate newer technologies - Strong written, verbal, and presentation skills, with the ability to convey complex concepts in a clear and simple manner - Stay updated with the latest developments in data science and machine learning DESIRED SKILLS & EXPERIENCE: - 4+ years of experience applying Machine Learning to concrete problems at large scale - Bachelors or Masters in Computer Science, Statistics, or related field - Strong CS fundamentals. Should be able to write algorithms with ease. - Solid understanding of Data Science and ML fundamentals - Regression, Classificat

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