Workday
Machine Learning Engineer - Payroll
$136K–$240K
USA, CA, Pleasanton · Flex · Full-time · Posted Sep 9, 2026
- Experience
- 5+ years in a data science, machine learning, or software development team; 3+ years in each of Python and machine learning frameworks, large-scale datasets, and building/evaluating/productizing models.
About the job
Develops and brings machine learning and AI solutions into Workday payroll products, using HR and Payroll data to support predictive analytics, recommendations, and automation.
What you'll do
- Prepare and transform large-scale HR and Payroll datasets for machine learning.
- Build, evaluate, and improve models, prompts, and frameworks for payroll use cases.
- Partner with product managers, software engineers, and data scientists to deliver machine learning capabilities from concept through production.
What they ask for
- 5+ years of experience on a data science, machine learning, or software development team.
- 3+ years of experience using Python and machine learning frameworks such as PyTorch or TensorFlow.
- 3+ years of experience working with large-scale datasets, including data modeling, feature development, or data transformation.
- 3+ years of experience building, evaluating, or productizing machine learning models or algorithms.
Nice to have
- Experience with deep learning, natural language processing, generative AI, distributed training, model hosting, or multi-agent AI systems.
- Advanced degree in Computer Science, Mathematics, Engineering, or a related field.
Pay
$160,000 USD - $240,000 USD (base salary); $136,200 USD - $240,000 USD (base salary)
Tools
Python, PyTorch, TensorFlow
AI focus
Applies machine learning, deep learning, natural language processing, generative AI, and AI agent approaches to payroll, including predictive analytics, recommendations, and automation.
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