{"schemaVersion":"jobsearcher.job.v1","id":"6965afa76d8fb7a4cf3b200b","url":"https://jobsearcher.com/jobs/6965afa76d8fb7a4cf3b200b","canonicalUrl":"https://jobsearcher.com/jobs/6965afa76d8fb7a4cf3b200b","title":"Machine Learning Engineer","description":"Job DutiesBuild ads retrieval and early ranking system for critical ML tasks with advanced industrial level techniques. Research, implement, test, and launch new model architectures including information retrieval, ANN, recommendation system, deep neural networks within high dimensional information system. Work on large-scale data systems, data pipelines and system engineering on large-scale dataset, backend services and product integration. Collaborate closely with multiple stakeholders across product, engineering, research and marketing. Train, evaluate, test, and deploy machine learning models.\r\nPart-time telecommuting is an option. Hybrid work from Reddit offices in New York, NY.\r\nMinimum RequirementsMaster's degree in Data Science, Computer Science or closely related quantitative discipline, and (2) years of experience in the job offered or in any occupation in related field.\r\nSpecial Skill RequirementsJava, Python, Scala, or C\r\nData processing frameworks (Spark and Kafka)\r\nCloud service provider (AWS or GCP)\r\nContainer Orchestration (Kubernetes)\r\nCI/CD tooling (Drone, CircleCI, and Spinnaker)\r\nMachine Learning modeling framework (Tensorflow and PyTorch)\r\nMachine Learning deployment\r\nModel training pipeline (Kubeflow and Ray)\r\nJupyter notebook\r\nData analysis and reading dashboards\r\nDNN frameworks\r\nAirflow pipelines\r\nSQL and Big Query\r\nBenefitsComprehensive Healthcare Benefits and Income Replacement Programs\r\n401k with Employer Match\r\nGlobal Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support\r\nFamily Planning Support\r\nGender-Affirming Care\r\nMental Health & Coaching Benefits\r\nFlexible Vacation & Paid Volunteer Time Off\r\nGenerous Paid Parental Leave#J-18808-Ljbffr","company":"Reddit","rawCompany":"reddit","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-08-14T01:19:25.275Z","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":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"Job DutiesBuild ads retrieval and early ranking system for critical ML tasks with advanced industrial level techniques. Research, implement, test, and launch new model architectures including information retrieval, ANN, recommendation system, deep neural networks within high dimensional information system. Work on large-scale data systems, data pipelines and system engineering on large-scale dataset, backend services and product integration. Collaborate closely with multiple stakeholders across product, engineering, research and marketing. Train, evaluate, test, and deploy machine learning models.\r\nPart-time telecommuting is an option. Hybrid work from Reddit offices in New York, NY.\r\nMinimum RequirementsMaster's degree in Data Science, Computer Science or closely related quantitative discipline, and (2) years of experience in the job offered or in any occupation in related field.\r\nSpecial Skill RequirementsJava, Python, Scala, or C\r\nData processing frameworks (Spark and Kafka)\r\nCloud service provider (AWS or GCP)\r\nContainer Orchestration (Kubernetes)\r\nCI/CD tooling (Drone, CircleCI, and Spinnaker)\r\nMachine Learning modeling framework (Tensorflow and PyTorch)\r\nMachine Learning deployment\r\nModel training pipeline (Kubeflow and Ray)\r\nJupyter notebook\r\nData analysis and reading dashboards\r\nDNN frameworks\r\nAirflow pipelines\r\nSQL and Big Query\r\nBenefitsComprehensive Healthcare Benefits and Income Replacement Programs\r\n401k with Employer Match\r\nGlobal Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support\r\nFamily Planning Support\r\nGender-Affirming Care\r\nMental Health & Coaching Benefits\r\nFlexible Vacation & Paid Volunteer Time Off\r\nGenerous Paid Parental Leave#J-18808-Ljbffr","datePosted":"2026-08-14T01:19:25.275Z","dateModified":"2026-08-14T01:19:25.275Z","hiringOrganization":{"@type":"Organization","name":"Reddit","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6965afa76d8fb7a4cf3b200b"},"url":"https://jobsearcher.com/jobs/6965afa76d8fb7a4cf3b200b"}}