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# Machine Learning Engineer III

- **Company:** Workday, Inc.
- **Location:** Boulder, CO, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $143,400.0 - $215,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Files, Distributed Computing Environment, Python (Programming Language), Machine Learning, Natural Language Processing, Scrum Methodology, Tensorflow, Software Engineering, Pytorch, Large Language Models, Multi-Agent Systems, Prompt Engineering, Deep Learning, Data Strategy, Build Management, AI Platforms, Information Technology, Machine Learning Operations, Workday
- **Published:** June 12, 2026
- **Apply:** https://www.careerjet.com/jobad/us9b4dc0c51cc3228413946c4360038ecd

## About the Role

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, 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.
 - 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.
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, taking ownership of development lifecycle and sprint planning; fostering a culture of collaboration, transparency, innovation, and continuous improvement.

## Description

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., 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. You'll implement and evolve frameworks for LLM-powered agents, including RAG pipelines, workflow orchestration, evaluation, and feedback loops, ensuring solutions are scalable, observable, and enterprise-ready. This role sits at the intersection of ML and platform engineering: partnering closely with software engineers, product managers, and data scientists to integrate agents deeply into the Workday stack. You'll stay hands-on with emerging techniques in agentic architectures while applying strong engineering judgment to turn them into systems that are reliable, explainable, and built


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