{"schemaVersion":"jobsearcher.job.v1","id":"17290fbf8a9500523f0b44c8","url":"https://jobsearcher.com/jobs/17290fbf8a9500523f0b44c8","canonicalUrl":"https://jobsearcher.com/jobs/17290fbf8a9500523f0b44c8","title":"Senior Machine Learning Engineer","description":"Empat delivers full-cycle software development grounded inresearch, empathy, and technical excellence— from system architecture and engineering toUI/UX and go-to-market.Wecarefully analyze our clients' business needs and assist indeveloping efficient, optimized, and user-friendly solutions that bring profit.\r\nYou will bejoining the team that designs, builds, and scales machine learning systems powering personalization and customer engagement atlarge scale. This isanopportunity towork onproduction-ready MLpipelines, real-time decision-making systems, and experimentation frameworks that directly impact millions ofusers.\r\nYour responsibilities will include\r\nDeveloping pipelines that transform behavioral, demographic, and contextual data into real-time features.\r\nDesigning APIs and services for low-latency prediction and decision-making.\r\nImplementing frameworks for A/B testing, exploration/exploitation strategies, and model evaluation.\r\nWorking closely with product and engineering teams tobalance engagement, business value, and compliance.\r\nEstablishing monitoring, logging, and retraining workflows tocontinuously validate and improve models.\r\nWhat weexpect from you\r\n5+years ofappliedML engineering experience (recommendation systems, personalization, ranking, orads).\r\nStrong background inPython and/or Go, SQL, andML frameworks such asTensorFlow orPyTorch.\r\nExperience deploying real-time MLsystems (low-latency serving, feature stores, event-driven architectures).\r\nFamiliarity with cloudML platforms (Vertex AI, SageMaker, orsimilar).\r\nExperience with data warehouses (BigQuery, Snowflake, Redshift).\r\nUnderstanding ofmulti-objective optimization and trade-offs inpersonalization.\r\nAbility tothrive inafast-paced, startup-style environment\r\nWill beaplus\r\nExperience inmartech, adtech, CRM, orlarge-scale consumer personalization.\r\nExposure tobandit algorithms orreinforcement learning.\r\nPrior work onsystems serving millions ofusers atscale.\r\nExperience with Google Cloud Platform (GCP).\r\nSoft Skills\r\nFluent English and strong communication skills.\r\nProactive and positive attitude.\r\nAbility towork 9am— 4pm EST.\r\nWeoffer\r\nOpportunities toshape large-scale personalization technology.\r\nCompetitive compensation package that matches your skills and experience.\r\nProfessional growth, conferences, and skill development budget.\r\nFlexible remote work with support for your productivity.\r\nCollaborative and innovative environment where impact isvalued over years ofexperience.\r\nJ-18808-Ljbffr","company":"Empat","rawCompany":"empat","city":"Snowflake","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-04-09T07:58:16.982Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"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":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Machine Learning Engineer","description":"Empat delivers full-cycle software development grounded inresearch, empathy, and technical excellence— from system architecture and engineering toUI/UX and go-to-market.Wecarefully analyze our clients' business needs and assist indeveloping efficient, optimized, and user-friendly solutions that bring profit.\r\nYou will bejoining the team that designs, builds, and scales machine learning systems powering personalization and customer engagement atlarge scale. This isanopportunity towork onproduction-ready MLpipelines, real-time decision-making systems, and experimentation frameworks that directly impact millions ofusers.\r\nYour responsibilities will include\r\nDeveloping pipelines that transform behavioral, demographic, and contextual data into real-time features.\r\nDesigning APIs and services for low-latency prediction and decision-making.\r\nImplementing frameworks for A/B testing, exploration/exploitation strategies, and model evaluation.\r\nWorking closely with product and engineering teams tobalance engagement, business value, and compliance.\r\nEstablishing monitoring, logging, and retraining workflows tocontinuously validate and improve models.\r\nWhat weexpect from you\r\n5+years ofappliedML engineering experience (recommendation systems, personalization, ranking, orads).\r\nStrong background inPython and/or Go, SQL, andML frameworks such asTensorFlow orPyTorch.\r\nExperience deploying real-time MLsystems (low-latency serving, feature stores, event-driven architectures).\r\nFamiliarity with cloudML platforms (Vertex AI, SageMaker, orsimilar).\r\nExperience with data warehouses (BigQuery, Snowflake, Redshift).\r\nUnderstanding ofmulti-objective optimization and trade-offs inpersonalization.\r\nAbility tothrive inafast-paced, startup-style environment\r\nWill beaplus\r\nExperience inmartech, adtech, CRM, orlarge-scale consumer personalization.\r\nExposure tobandit algorithms orreinforcement learning.\r\nPrior work onsystems serving millions ofusers atscale.\r\nExperience with Google Cloud Platform (GCP).\r\nSoft Skills\r\nFluent English and strong communication skills.\r\nProactive and positive attitude.\r\nAbility towork 9am— 4pm EST.\r\nWeoffer\r\nOpportunities toshape large-scale personalization technology.\r\nCompetitive compensation package that matches your skills and experience.\r\nProfessional growth, conferences, and skill development budget.\r\nFlexible remote work with support for your productivity.\r\nCollaborative and innovative environment where impact isvalued over years ofexperience.\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T07:58:16.982Z","dateModified":"2026-04-09T07:58:16.982Z","hiringOrganization":{"@type":"Organization","name":"Empat","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Snowflake","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"17290fbf8a9500523f0b44c8"},"url":"https://jobsearcher.com/jobs/17290fbf8a9500523f0b44c8"}}