Machine Learning Engineer III

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

This is a very exciting opening in the AI Platform team in our Information Retrieval and Agent Evaluation team. We believe if you do what you love, you’ll love what you do. There’s a lot to love  are part of a global, high-growth technology company and our team has the opportunity to develop the next generation of Workday’s groundbreaking collaborative products supporting a customer base of more than 31 million strong.

Over 65% of the Fortune 500 are Workday customers.

The Agent Evaluation Platform project is the "Ground Truth" engine for Workday’s AI transformation and we have an ambitious roadmap. As Workday infuses AI Agents into every facet of our enterprise suite, our team provides the critical infrastructure and algorithms needed to prove they work—and make them better. We build the platform that enables agent engineering teams to be empowered with rigorous, data-driven optimization, evaluation and validation of their agents.

The AI Platform Information Retrieval products are at the heart of Workday’s intelligence layer. We bridge the gap between human language, search, and enterprise data, including reasoning over knowledge. Our products utilize advanced semantic search to navigate Workday’s massive data model, as well as turning natural language questions into precise SQL and Python executions.
Workday’s AI Platform organization is bringing “AI first” products to life at every step of the Workday product offering. We’re looking for highly creative, results-focused, and deeply skilled Machine Learning Engineers/scientists to work with us on a range of these challenges.

Why Workday?

• The Data:
  Work with exclusive, high-integrity enterprise datasets that most researchers never see. You'll be working at the absolute frontier of Agentic AI - "how do we validate, scale, and optimize an agent" and "how do we extract the correct data for agents".
• The Scale:
  Your code will empower the world’s largest companies to make data-driven decisions. You are the gatekeeper of quality for products reaching 31 million users.
• The Culture: A "people-first" environment that balances high-intensity innovation with sustainable work-life integration.

About the Role

We are seeking pragmatic ML Engineers to drive the applied research, deployment, and optimization of our Agentic AI, Search, and Semantic Parsing products. In this role, you will bridge the gap between deep research and production, embedding cutting-edge agents directly into the Workday ecosystem. Leveraging our vast computing power and exclusive datasets, you will solve complex technical challenges to deliver transformative value to millions of users.

If you are ready to apply creative problem-solving to global-scale ML systems, we want to hear from you.

In this role, you would:

Architect Agentic AI:
Design and deploy sophisticated reasoning, planning, and swarm agents that interact seamlessly with enterprise data and support continuous, life-long learning.

Drive Meta-ML & Optimization:
Develop algorithms for automated node-level…