{"schemaVersion":"jobsearcher.job.v1","id":"cf8699cd4dea2f213270034c","url":"https://jobsearcher.com/jobs/cf8699cd4dea2f213270034c","canonicalUrl":"https://jobsearcher.com/jobs/cf8699cd4dea2f213270034c","title":"Machine Learning Engineer","description":"Overview\nIn this role you will help build an AI Platform that delivers enterprise-grade ML capabilities, focusing on agentic AI, LLMs, and RAG to impact HR and Finance workflows. You will work with cross-functional teams to train, deploy, and manage ML models at scale, and to design APIs and services with Docker/Kubernetes. You’ll stay at the cutting edge of AI techniques, applying them to large datasets and real-world problems. This is a hands-on, impact-oriented role that shapes how Workday delivers transformative AI features.\n\nCompensation / Benefitsbase salary range ($160k-$240k for primary location)bonus plan or commissions/stock refresh grantsflexible work arrangement (50% in-office)remote/home office opportunitiesequal opportunity employer with accommodations availableprofessional growth and long-term investment in employees\nResponsibilitiesOwn design and implementation of ML platform features, pipelines, and servicesEnsure scalability, evaluation, and observability of ML featuresApply LLMs and NLP techniques to HR/Finance text data and deploy cloud-based ML architecturesStay current with AI advances (LLMs, RAG, autonomous agents) to drive innovationDevelop and deploy APIs/services using Docker/Kubernetes at scaleLeverage Workday computing resources to process rich datasets for customers\nKey requirements3+ years in data science, ML engineering, or software development building ML products at scale3+ years creating ETL pipelines and inference services with LLMs in production3+ years Python development in production3+ years data wrangling with Pandas and PySpark; experience with Kubernetes and Docker3+ years experience with cloud platforms (AWS, GCP)3+ years clear cross-functional communication with product managers and leadership3+ years building information retrieval systems and ML/DL frameworks (PyTorch, TensorFlow, Sklearn)Strong understanding of statistical analysis and NLP for information retrieval or recommendation systemsstrong communication in cross-functional settingstechnical leadership and collaborationcuriosity and drive to innovatePython and ML engineeringLLMs and NLPAgentic AI and RAG","company":"Workday","rawCompany":"workday","city":"Oakland","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-09-15T04:33:22.347Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"Overview\nIn this role you will help build an AI Platform that delivers enterprise-grade ML capabilities, focusing on agentic AI, LLMs, and RAG to impact HR and Finance workflows. You will work with cross-functional teams to train, deploy, and manage ML models at scale, and to design APIs and services with Docker/Kubernetes. You’ll stay at the cutting edge of AI techniques, applying them to large datasets and real-world problems. This is a hands-on, impact-oriented role that shapes how Workday delivers transformative AI features.\n\nCompensation / Benefitsbase salary range ($160k-$240k for primary location)bonus plan or commissions/stock refresh grantsflexible work arrangement (50% in-office)remote/home office opportunitiesequal opportunity employer with accommodations availableprofessional growth and long-term investment in employees\nResponsibilitiesOwn design and implementation of ML platform features, pipelines, and servicesEnsure scalability, evaluation, and observability of ML featuresApply LLMs and NLP techniques to HR/Finance text data and deploy cloud-based ML architecturesStay current with AI advances (LLMs, RAG, autonomous agents) to drive innovationDevelop and deploy APIs/services using Docker/Kubernetes at scaleLeverage Workday computing resources to process rich datasets for customers\nKey requirements3+ years in data science, ML engineering, or software development building ML products at scale3+ years creating ETL pipelines and inference services with LLMs in production3+ years Python development in production3+ years data wrangling with Pandas and PySpark; experience with Kubernetes and Docker3+ years experience with cloud platforms (AWS, GCP)3+ years clear cross-functional communication with product managers and leadership3+ years building information retrieval systems and ML/DL frameworks (PyTorch, TensorFlow, Sklearn)Strong understanding of statistical analysis and NLP for information retrieval or recommendation systemsstrong communication in cross-functional settingstechnical leadership and collaborationcuriosity and drive to innovatePython and ML engineeringLLMs and NLPAgentic AI and RAG","datePosted":"2026-09-15T04:33:22.347Z","dateModified":"2026-09-15T04:33:22.347Z","hiringOrganization":{"@type":"Organization","name":"Workday","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oakland","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cf8699cd4dea2f213270034c"},"url":"https://jobsearcher.com/jobs/cf8699cd4dea2f213270034c"}}