Sr Associate Machine Learning Engineer

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

Do you like working with data? We guess you probably do since you’re looking at a Machine Learning Engineer job description. While only a subset of the population uses online shopping, or orders food deliveries, or binges TV series. But everyone, EVERYONE!, who gets paid is exposed to payroll data. More of it every month, every day, every hour. Payroll has more or less done the same thing since it was the first ever automated business application built in the 1950s. But we believe that using modern AI techniques, Workday has been transforming the way that Payroll is processed. So if you like working with huge volumes of vital data and you are interested in a goal of making people’s lives better by ensuring they get paid correctly, accurately, swiftly for the work they do, we’d love to talk to you!

About the Role

 As a Sr. Associate ML Engineer, you will help develop data & AI-driven, automated, comprehensive solutions at global scale for all size and types of enterprise using modern software, data, and AI engineering stacks. 
- Work closely with product managers, software engineers to deliver AI solutions that provide payroll administrators and users enormous value and efficiency. Your work will also ensure that users have the best payroll processing experience by providing predictive analytics and recommendations.
- You will use Workday’s AI development environment and resources on rich HR and Payroll datasets to deliver value that transforms the way our customers use Payroll products. 
- Opportunity to apply your highly technical problem solving, creative thinking, alluring mind using the latest AI Agent technologies and toolsets and make a huge impact on the world's largest enterprises that use Workday to process payroll for millions of employees.
 

About You

Basic Qualifications:
- 3+ yrs experience as part of a data science, machine learning software development team or relevant work in a PhD or equivalent experience program.
- Experience using Python and frameworks such as Pytorch, TensorFlow
- Experiences related to machine learning, deep learning, NLP, GenAI, multi-agent AI systems, distributed training, model hosting, etc
- Experienced in handling large-scale, complex data sets, data modeling, and productizing machine learning algorithms.

Other Qualifications:
- B.S. or M.S. in relevant fields (Computer Science, Mathematics, Engineering). PhD or equivalent experience preferred
- Be part of a team of data scientists and software developers and learn all about HR and Payroll data and processes
- Own data exploration and transformation, feature & prompt engineering, design and enhance ML models/frameworks
- Strong experience building applied machine learning products, including taking a product through design, implementation, and to production 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. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: USA.CO.Boulder

 

Primary Location Base Pay Range: $118,800 USD - $178,200 USD

 

Additional US Location(s) Base Pay Range: $112,900 USD - $210,000 USD

Additional Considerations:

03/17/2026

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.

At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email [email protected].

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