Machine Learning Engineer - Payroll

Workday•Pleasanton, CA

17d•Hybrid

About The Position

The Payroll AI and Data team is helping transform how payroll is processed for Workday customers around the world. Payroll touches nearly everyone who works, and the data behind it is complex, time-sensitive, and deeply important. Our work helps customers process payroll more accurately, efficiently, and confidently, so employees can be paid correctly and on time. We work with large-scale HR and Payroll datasets to build data and AI-driven solutions that improve the payroll experience for administrators and employees. In the year ahead, the team will focus on applying modern machine learning, generative AI, and AI agent technologies to deliver predictive analytics, recommendations, and automation that make payroll processing simpler and more effective. This is a team for people who enjoy solving meaningful problems with data. We value curiosity, thoughtful collaboration, and practical innovation. You will work with people who care about building trustworthy AI solutions that create real value for Workday customers and support Workday’s mission to make work better.

Requirements

5+ years of experience as part of a data science, machine learning, or software development team.
3+ years of experience using Python and machine learning frameworks such as PyTorch, TensorFlow, or similar tools.
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.
Experience with machine learning, including selecting appropriate approaches, preparing data, training models, evaluating results, and applying models to practical product problems.
Experience with model building, including feature engineering, experimentation, performance analysis, and iteration based on data and user needs.
Experience with model development practices, including model evaluation, deployment considerations, monitoring, and improvement over time.
Familiarity with model-based design concepts, including using models to represent complex systems, test assumptions, and guide solution design.
Ability to work collaboratively with product managers, software engineers, and data scientists to deliver customer-focused AI solutions.
Clear communication skills, including the ability to explain technical concepts and model behavior to technical and non-technical partners.
Interest in learning HR and Payroll data, processes, and customer needs.

Nice To Haves

Experience with deep learning, natural language processing, generative AI, distributed training, model hosting, or multi-agent AI systems.
Experience bringing applied machine learning products from design through production.
Advanced degree in Computer Science, Mathematics, Engineering, or a related field is a plus.

Responsibilities

Develop data and AI-driven solutions for enterprise payroll products serving organizations of many sizes and industries.
Explore, prepare, and transform large-scale HR and Payroll datasets for machine learning use cases.
Design, build, evaluate, and improve machine learning models, prompts, and frameworks.
Partner with product managers, software engineers, and data scientists to bring applied machine learning capabilities from concept through production.
Apply modern machine learning, deep learning, natural language processing, generative AI, and AI agent approaches to payroll challenges.
Contribute to model development practices that support scalability, reliability, quality, and responsible use of AI.
Learn payroll domain concepts and use that context to build solutions that are practical, trusted, and valuable for customers.