Machine Learning Engineer III

About the Opportunity

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.

About The Team

Agent Factory is where Workday's next chapter gets built. We're forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade AI—deeply embedded into Workday's platform—not research experiments or maintenance work.

About The Role

As a Machine Learning Engineer in Agent Factory, you'll design and build the core ML systems behind Workday's next generation of AI agents. Working within a small, senior, cross-functional pod, you'll own how models, agent logic, and orchestration layers come together in production—across the full lifecycle from problem framing and data strategy to deployment, monitoring, and continuous improvement.

About You

Basic Qualifications:

• 5+ yrs experience as part of a data science, machine learning software development team or relevant work in a PhD or equivalent experience program.
• 3+ years experience using Python and frameworks such as Pytorch, TensorFlow.
• 2+ years of experience related to machine learning, deep learning, NLP, GenAI, multi-agent AI systems, distributed training, model hosting, etc.

Other Qualifications:

• B.S. or M.S. in relevant fields (Computer Science, Mathematics, Engineering). PhD or equivalent experience preferred.
• Experienced in handling large-scale, complex data sets, data modeling, and productizing machine learning algorithms.
• 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.
• Excellent interpersonal and communication skills, with the ability to build strong relationships across teams and stakeholders.
• Proven track record of successfully leading, mentoring, and/or managing ML Engineering teams.

Compensation and Location

• Primary Location: USA.CO.Boulder
• Primary Location Base Pay Range: $143,400 USD - $215,200 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. We spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners.

Additional Information

• Application Deadline: 06/12/2026
• Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
• If you require assistance or an accommodation at any point, please email [email protected].