Workday
PrincipalMachineLearningEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Principal Machine Learning Engineer at Workday. Skills: Machine Learning, AI Agents, LLM Frameworks, Production ML. Design core ML systems. Build core ML systems”
Industry & Context.
Solve ambiguous problems; Lead technically
What They're Looking For.
Must Have
10+ years ML product experience, 4+ years ML/deep learning frameworks, 6+ years production ML model services, 3+ years LLM/text generation/GNN, 6+ years cloud computing platforms, Bachelor's degree in engineering, CS, physics, or math
Nice to Have
Master's or PhD degree preferred
What You'll Do.
Design core ML systems
Build core ML systems
Own model integration
Own agent logic integration
Own orchestration layer integration
Develop data strategy
Improve models continuously
Implement LLM agent frameworks
Evolve workflow orchestration
Evolve evaluation frameworks
Evolve feedback loops
Integrate agents into Workday stack
Apply engineering judgment
How You'll Work.
Team & Collaboration
Cross-functional AI teams; Across disciplines; With software engineers; With product managers; With data scientists
Full 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** 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. Teams own problems end to end, collaborate tightly across disciplines, and use the right tools to solve real customer challenges at global scale. You’ll work at the intersection of AI, platform architecture, and human workflows, with the autonomy to shape how agents reason, act, and scale responsibly. High trust, high expectations, and real impact. Engineering, but brighter. **About the Role** As a Principal Machine Learning
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