{"schemaVersion":"jobsearcher.job.v1","id":"1363069fc8db22c65ff15512","url":"https://jobsearcher.com/jobs/1363069fc8db22c65ff15512","canonicalUrl":"https://jobsearcher.com/jobs/1363069fc8db22c65ff15512","title":"Sr. Engineer, Machine Learning","description":"Overview\nIn this role you will own the end-to-end ML lifecycle to turn data into impactful models used across Poshmark’s platform. You will work with cross-functional teams to productionize models and ensure robust, scalable ML services. You’ll write efficient production-grade code and evolve solutions with new tech while staying current with data science advances. This is a hands-on, impact-focused opportunity to shape how ML drives search, personalization, and fraud detection at scale. Join a mission-driven team building a world-class ML platform that democratizes data science at Poshmark.\n\nResponsibilitiesManage the ML lifecycle from data collection to deployment and monitoringCollaborate with DS, QA, Infra and other engineering teams to productionize ML modelsWrite and optimize production-ready code ensuring robustness and scalability of ML servicesMaintain and evolve current ML solutions with new technologiesCommunicate complex concepts clearly through writing, speaking, and presentationsStay updated with advances in data science and ML\nKey requirements4+ years of ML experience at large scaleBachelor or Master in Computer Science, Statistics, or related fieldStrong CS fundamentals with ability to design algorithmsSolid understanding of ML fundamentals: regression, classification, trees, neural networks, sequence modelsExperience with at least one ML model such as LLMs, GNN, deep learning, logistic regression, gradient boostingExcellent understanding of ML lifecycleGood understanding of system architecture and big data technologies like streaming and data pipelinesExperience with Python, SQL, Java or ScalaStrong written, verbal, and presentation skillsAbility to convey complex concepts clearlyCross-functional collaborationML fundamentals: regression, classification, tree-based methods, neural networks, sequence modelsExperience with LLMs, GNNs, deep learning, logistic regression, gradient boostingPython, SQL, Java or Scala","company":"Poshmark","rawCompany":"poshmark","city":"San Mateo","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-09-15T05:03:10.014Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"455110","title":"Department Stores","slug":"department-stores"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Engineer, Machine Learning","description":"Overview\nIn this role you will own the end-to-end ML lifecycle to turn data into impactful models used across Poshmark’s platform. You will work with cross-functional teams to productionize models and ensure robust, scalable ML services. You’ll write efficient production-grade code and evolve solutions with new tech while staying current with data science advances. This is a hands-on, impact-focused opportunity to shape how ML drives search, personalization, and fraud detection at scale. Join a mission-driven team building a world-class ML platform that democratizes data science at Poshmark.\n\nResponsibilitiesManage the ML lifecycle from data collection to deployment and monitoringCollaborate with DS, QA, Infra and other engineering teams to productionize ML modelsWrite and optimize production-ready code ensuring robustness and scalability of ML servicesMaintain and evolve current ML solutions with new technologiesCommunicate complex concepts clearly through writing, speaking, and presentationsStay updated with advances in data science and ML\nKey requirements4+ years of ML experience at large scaleBachelor or Master in Computer Science, Statistics, or related fieldStrong CS fundamentals with ability to design algorithmsSolid understanding of ML fundamentals: regression, classification, trees, neural networks, sequence modelsExperience with at least one ML model such as LLMs, GNN, deep learning, logistic regression, gradient boostingExcellent understanding of ML lifecycleGood understanding of system architecture and big data technologies like streaming and data pipelinesExperience with Python, SQL, Java or ScalaStrong written, verbal, and presentation skillsAbility to convey complex concepts clearlyCross-functional collaborationML fundamentals: regression, classification, tree-based methods, neural networks, sequence modelsExperience with LLMs, GNNs, deep learning, logistic regression, gradient boostingPython, SQL, Java or Scala","datePosted":"2026-09-15T05:03:10.014Z","dateModified":"2026-09-15T05:03:10.014Z","hiringOrganization":{"@type":"Organization","name":"Poshmark","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1363069fc8db22c65ff15512"},"url":"https://jobsearcher.com/jobs/1363069fc8db22c65ff15512"}}