{"schemaVersion":"jobsearcher.job.v1","id":"780deb596bef72cbc18a3118","url":"https://jobsearcher.com/jobs/780deb596bef72cbc18a3118","canonicalUrl":"https://jobsearcher.com/jobs/780deb596bef72cbc18a3118","title":"Senior Machine Learning Engineer","description":"Overview\nAs a Machine Learning Engineer at Q2, you will design and deliver production-ready AI capabilities that power our financial services products. You’ll build APIs, microservices, and backend systems, shaping an AI platform used across the tech stack. You’ll establish deployment pipelines, monitoring, and testing to ensure enterprise-grade reliability. You’ll prototype emerging AI approaches and turn ideas into real customer value. You’ll work with cross-functional teams to advance scalable, impactful AI solutions.\n\nCompensation / BenefitsHealth & Wellness benefitsHybrid work opportunitiesFlexible time offCareer development & mentoring programsParental leaveVolunteer and philanthropy programs\nResponsibilitiesDesign, build, and deliver production-ready AI capabilities, services, and applications solving real customer and business problemsDevelop scalable APIs, microservices, data integrations, and backend systems enabling AI-powered products and workflowsEnhance AI infrastructure with evaluation frameworks, deployment pipelines, monitoring, observability, and automated testingPrototype and evaluate emerging AI technologies (LLMs, agentic workflows) and convert ideas into enterprise-grade solutionsCollaborate across cloud, data, and application layers to integrate AI into the broader technology ecosystemWork with product, engineering, data, and platform teams to define solutions and move ideas from exploration to production\nKey requirements5+ years of professional software/ML/AI engineering with production ownershipStrong software engineering fundamentals with experience deploying and maintaining production systemsStrong Python; experience with C#, Java, TypeScript is valuableExperience building APIs, backend services, microservices, data integrations, or distributed systemsHands-on cloud, containers, and production deployment experience; Kubernetes/Docker/MLOps valuableExperience building or operating ML/AI systems in production including evaluation, monitoring, observability, and deployment pipelinesExposure to LLMs, RAG, agentic workflows, model/tool integration or similar AI patternsAbility to work across AI, backend, infrastructure, data, and occasionally UIStrong ownership, curiosity and comfort in evolving environmentsFluent English; authorized to work in the U.S.; no visa sponsorship availableownershipcuriositycollaborationPythonC#Java","company":"Q2 Software","rawCompany":"q2 software","city":"Raleigh","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-09-15T04:44:08.366Z","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":"Overview\nAs a Machine Learning Engineer at Q2, you will design and deliver production-ready AI capabilities that power our financial services products. You’ll build APIs, microservices, and backend systems, shaping an AI platform used across the tech stack. You’ll establish deployment pipelines, monitoring, and testing to ensure enterprise-grade reliability. You’ll prototype emerging AI approaches and turn ideas into real customer value. You’ll work with cross-functional teams to advance scalable, impactful AI solutions.\n\nCompensation / BenefitsHealth & Wellness benefitsHybrid work opportunitiesFlexible time offCareer development & mentoring programsParental leaveVolunteer and philanthropy programs\nResponsibilitiesDesign, build, and deliver production-ready AI capabilities, services, and applications solving real customer and business problemsDevelop scalable APIs, microservices, data integrations, and backend systems enabling AI-powered products and workflowsEnhance AI infrastructure with evaluation frameworks, deployment pipelines, monitoring, observability, and automated testingPrototype and evaluate emerging AI technologies (LLMs, agentic workflows) and convert ideas into enterprise-grade solutionsCollaborate across cloud, data, and application layers to integrate AI into the broader technology ecosystemWork with product, engineering, data, and platform teams to define solutions and move ideas from exploration to production\nKey requirements5+ years of professional software/ML/AI engineering with production ownershipStrong software engineering fundamentals with experience deploying and maintaining production systemsStrong Python; experience with C#, Java, TypeScript is valuableExperience building APIs, backend services, microservices, data integrations, or distributed systemsHands-on cloud, containers, and production deployment experience; Kubernetes/Docker/MLOps valuableExperience building or operating ML/AI systems in production including evaluation, monitoring, observability, and deployment pipelinesExposure to LLMs, RAG, agentic workflows, model/tool integration or similar AI patternsAbility to work across AI, backend, infrastructure, data, and occasionally UIStrong ownership, curiosity and comfort in evolving environmentsFluent English; authorized to work in the U.S.; no visa sponsorship availableownershipcuriositycollaborationPythonC#Java","datePosted":"2026-09-15T04:44:08.366Z","dateModified":"2026-09-15T04:44:08.366Z","hiringOrganization":{"@type":"Organization","name":"Q2 Software","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Raleigh","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"780deb596bef72cbc18a3118"},"url":"https://jobsearcher.com/jobs/780deb596bef72cbc18a3118"}}