Machine Learning Engineer, Workday
Payroll
$160-240k
More information about location
Office located in Pleasanton, CA
Enterprise AI platform for managing HR, finance & IT
Posted today
Enterprise AI platform for managing HR, finance & IT
1001+ employees
Posted today
$160-240k
More information about location
Office located in Pleasanton, CA
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 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
What the job involves
- 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
- 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
- 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
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
The company has also grown through acquisitions and partnerships to broaden its capabilities. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.
Through a combination of strategic acquisitions and in-house development, Workday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(Co-Founder & CEO)Annel began their career at Morgan Stanley as a Corporate Finance Analyst. They then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005.
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