{"id":4245843,"url":"https://alion.io/job/poshmark-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":5858,"name":"Poshmark","domain":"poshmark.com","url":"https://alion.io/company/poshmark","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":90,"open_postings":5,"ghost_share":0,"stale_share":0.2,"repost_share":0,"time_to_fill_p50_days":83,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GNN","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"Amazon S3","optional":true},{"name":"Embeddings","optional":true},{"name":"FastAPI","optional":true},{"name":"Flask","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"RabbitMQ","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-13T09:03:58Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T12:41:51Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About Poshmark\nPoshmark 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.\nJob Description\nThe 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 businesses, and use machine learning to drive value across the chain (Search, personalization, fraud detection, and catalog digitization to name a few).\nResponsibilities:\nManage the entire ML lifecycle from data collection to deployment and monitoring.\n\nCollaborate across teams such as DS, QA, Infra, and other engineering teams to productionize ML models.\n\nWrite and optimize code for production environments, ensuring the robustness and reliability of ML services at scale.\n\nManage and support current solutions while evolving them to incorporate newer technologies.\n\nStrong written, verbal, and presentation skills, with the ability to convey complex concepts in a clear and simple manner.\n\nStay updated with the latest developments in data science and machine learning.\n\nRequirements:\n2+ years of experience applying Machine Learning to concrete problems at large scale.\n\nBachelors or Masters in Computer Science, Statistics, or related field.\n\nStrong CS fundamentals. Should be able to write algorithms with ease.\n\nSolid understanding of Data Science and ML fundamentals - Regression, Classification, Tree-based approach, Neural network, and sequence-based models.\n\nWorking experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.\n\nShould have an excellent understanding of the ML lifecycle.\n\nGood understanding of system architecture. 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