Sr Associate Machine Learning Engineer at Workday

Ideal for an AI/ML Engineer with at least 2 years of experience in production-level software development and a background in designing and implementing data pip

Work type: hybrid

Location: USA, CO, Boulder

Salary: $118,800/yr

Type: Full-time

Summary

Ideal for an AI/ML Engineer with at least 2 years of experience in production-level software development and a background in designing and implementing data pipelines. A Bachelor's degree in Computer Science, Mathematics, or Engineering is preferred. **What makes it worth a look...** This full-time, hybrid role at Workday offers a competitive salary range of $118,800 - $178,200 USD per year for its primary Boulder, CO location, with other US locations ranging from $112,900 - $210,000 USD. **You might be a good fit if you...** * Have 2+ years of experience building production-quality software with public cloud technologies like AWS, GCP, or Azure. * Possess 2+ years of experience using programming languages like Python or Java for production solutions. * Have 2+ years of experience in production-level software development, including the full lifecycle from conception to bug fixing. * Are familiar with Machine Learning technologies, frameworks, and methods.

Job Description

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

Are you energized by seeing AI products come to life in real-world settings—especially when they directly impact how companies plan their workforce and finances?

At Workday, our Adaptive Planning organization is on a mission to reimagine the FP&A customer journey with an AI-first mindset. We serve thousands of the world’s largest enterprises, and now we're building agentic workflows that will transform how finance teams interact with planning systems—making them more intelligent, proactive, and efficient.

We’re looking for highly creative, results-driven, and deeply technical AI/ML Engineers to help us shape the future of financial planning. If you're passionate about building real production-grade AI that solves complex business problems and delivers measurable impact—this is your team.

About the Role

As a Sr. Associate Machine Learning Engineer, you will build AI-driven solutions that enhance financial planning for enterprises at global scale. You’ll design and develop intelligent workflows, apply modern AI and data engineering practices, and help deliver next-generation FP&A capabilities within Workday Adaptive Planning.

You will work with rich HR and Finance datasets using Workday’s AI development environment to create automation, predictive insights, and agent-based experiences that improve how customers use planning products.

This role offers the opportunity to apply strong technical problem-solving and creative thinking while working with modern AI technologies and agent frameworks to deliver impactful solutions for some of the world’s largest organizations.

About YouBasic Qualifications:





Other Qualifications:




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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](https://workdaybenefits.com/us/welcome-to-workday-benefits/prospective-workmates).

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:

The application deadline for this role is the same as the posting end date stated as below:
 

04/27/2026

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.

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