Machine Learning Engineer - Payroll

Workday, Inc.; Pleasanton (CA); Hybrid; USD 160,000 - 240,000; Full time

Job summary

Workday, Inc. is seeking a Machine Learning Engineer to design, develop, and deliver AI/ML solutions at global scale for payroll products. You will collaborate with product managers, software engineers, and data scientists to turn HR data into valuable experiences.

You will apply ML, NLP, generative AI, and AI agent techniques to payroll challenges and help productionize models for trusted, scalable solutions.

Qualifications

• 5+ years of experience as part of a data science, ML, or software development team.
• 3+ years of experience using Python and ML 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.

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.

Skills

5+ years ML/DS

Python

PyTorch

Data modeling

Cross-functional

Education

Advanced degree in CS/Math/Engineering

Job description

About the Team

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.

About the Role

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.

About You

Basic Qualifications

Basic Qualifications

• 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.

Other Qualifications

• 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.

Workday Pay Transparency Statement

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. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things.

Primary Location: USA.CA.Pleasanton

Primary Location Base Pay Range: $160,000 USD - $240,000 USD

Additional US Location(s) Base Pay Range: $136,200 USD - $240,000 USD

Our Approach to 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. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.

If you require a reasonable accommodation, you may email [e-mail], as far in advance as possible.

Workday is proud to be an equal opportunity workplace. Individuals seeking employment at Workday are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records.

We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.

You may view the Workday's Pay Transparency Policy, and Know Your Rights Notice, by clicking on their corresponding links.