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Machine Learning Engineer - Payroll

WorkdayRapid City, SDL5 SeniorSeptember 15th, 2026
Overview As a Machine Learning Engineer on the Payroll AI and Data team, you design and delivery AI and ML solutions for global payroll products. You transform large HR and Payroll data into practical product experiences with production-ready models and AI features. You’ll collaborate with product managers, engineers, and data scientists to scale solutions and improve payroll accuracy and efficiency. This role offers the chance to apply ML, NLP, and generative AI to enterprise problems, helping payroll admins and employees through data-driven, trustworthy automation. Compensation / BenefitsFlex Workremote work optionsannual refresh stock grantsbonus plan potentialcompetitive base salaryopportunities for growth ResponsibilitiesDevelop data and AI-driven solutions for enterprise payroll products across organizations of various sizesPrepare and transform large HR and Payroll datasets for ML use casesDesign, build, evaluate, and improve ML models, prompts, and frameworksCollaborate with product managers, software engineers, and data scientists to bring ML into productionApply ML, deep learning, NLP, generative AI, and AI agent approaches to payroll challengesContribute to scalable, reliable, high-quality, and responsible AI practicesLearn payroll domain concepts to build practical, trusted solutions for customers Key requirements5+ years in data science, ML, or software development3+ years Python experience with ML frameworks (PyTorch, TensorFlow, or similar)3+ years handling large-scale datasets (data modeling, feature development, data transformation)3+ years building, evaluating, or productizing ML models or algorithmsExperience with model building, feature engineering, experimentation, and performance analysisExperience with model development practices including evaluation, deployment, monitoring, and improvementFamiliarity with model-based design concepts and complex system representationExperience with deep learning, NLP, generative AI, distributed training, model hosting, or multi-agent AI systemsAbility to work collaboratively to deliver customer-focused AI solutionsClear communication of technical concepts to both technical and non-technical partnersInterest in learning HR and Payroll data and processesAdvanced degree in related field is a plusclear communicationcross-functional collaborationcuriosityPythonPyTorchTensorFlow or similar