> Markdown version of [/jobs/ext/4279326-machine-learning-engineer-payroll](https://www.wearedevelopers.com/jobs/ext/4279326-machine-learning-engineer-payroll). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Machine Learning Engineer - Payroll

- **Company:** Workday, Inc.
- **Location:** Pleasanton, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $160,000 - $240,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Data Transformation, Distributed Computing Environment, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, Software Engineering, Feature Engineering, Pytorch, Deep Learning, Model Validation, Generative AI, Information Technology, Virtual Agents, Workday
- **Published:** October 26, 2026
- **Apply:** https://www.adzuna.com/details/5879729645

## About the Role

* 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.
 * 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.
 * 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.
 * Advanced degree in Computer Science, Mathematics, Engineering, or a related field is a plus.

## Description

As a Machine Learning Engineer, you will help design, develop, and deliver AI and machine learning solutions that support payroll products at global scale. You will work with product managers, software engineers, data scientists, and other partners to understand customer needs and turn rich HR and Payroll data into useful product experiences.

You will use Workday's AI development environment and tools to explore data, build models, evaluate performance, and help bring machine learning capabilities into production. Your work will support predictive analytics, intelligent recommendations, and automated experiences that help payroll administrators work more efficiently and help users have a better payroll processing experience.

In this role, you will:

 * 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.