Description
We’re Workday, a Fortune 500 company and a leading AI platform for managing people, money, and agents. As a Machine Learning Engineer on our Payroll AI and Data team, you will help design, develop, and deliver AI and machine learning solutions that support payroll products at global scale.
The Payroll AI and Data team is transforming 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.
In this role, you will:
- Develop data and AI-driven solutions for enterprise payroll products serving organisations 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.
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 modelling, feature development, or data transformation.
- 3+ years of experience building, evaluating, or productising machine learning models or algorithms.
Nice to Have:
- 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 behaviour 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.
Salary: The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants.
Primary Location: USA.CA.Pleasanton Primary Location Base Pay Range: $160,000 USD - $240,000 USD
Flexible Work: With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.