Principal Machine Learning Engineer

Your work days are brighter here.

Were 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 were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll 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. Were 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 youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well 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 youve found a match in Workday and we hope to be a match for you too.

About the Team

About the Role

At Workday were committed to bringing passion and customer focus to the business of enterprise applications. We work hard and were serious about what we do. But we like to have a good time fact we run our company with that principle in mind every day: One of our core values is fun.

Join the Deployment Adoption Platform team where we are building an AI platform to reduce the cost of implementing Workday globally.

About You

Basic Qualifications

• 12 years of experience in software engineering
• Expert level proficiency in Python
• Experience in LangGraph LangChain and LangSmith
• Proficiency in at least one other statically-typed language such as Java Scala Rust or C
• Demonstrated hands-on experience building applications with Large Language Models
• Deep and strategic knowledge of Data Science principle
• Proven ability to lead Exploratory Data Analysis (EDA) initiatives
• Mastery of Feature Engineering methods to insert specific actions like developing innovative feature representations or addressing complex data challenges.

Other Qualifications:

• Experience implementing agentic design patterns where an LLM uses tools to interact with its environment
• Experience developing and deploying applications on a major cloud platform (AWS GCP or Azure).
• Experience architecting complex event-driven systems capable of handling asynchronous tasks.
• Proven success working within fast-paced agile environments and cross-functional teams
• Strong communication skills with the ability to collaborate with both technical and non-technical partners
• Comfortable working with ambiguity and translating complex problems into clear thoughtful solutions
• Committed to fostering an inclusive team-oriented environment and contributing to a culture of continuous improvement

Our Approach to Flexible Work

With Flex Work were 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 youll 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.

At Workday we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point please email .

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