**Who this is for** This role is for an experienced Machine Learning Engineer looking to develop AI-powered software that impacts millions. You are passionate a
Work type: hybrid
Location: USA, CO, Boulder
Type: Full-time
**Who this is for** This role is for an experienced Machine Learning Engineer looking to develop AI-powered software that impacts millions. You are passionate about leveraging advanced AI, LLMs, and RAG to create tailored user experiences and are comfortable working with large datasets and cloud-based architectures. **Key highlights** You will own the exploration, design, and implementation of features for sophisticated ML platforms and services. This includes applying ML techniques to analyze text data, developing new APIs/services at scale, and staying at the forefront of AI advancements. **You might be a good fit if you...** - Have 3+ years of experience building applied machine learning products at scale, taking them through the full lifecycle. - Possess deep Python expertise and solid software engineering skills, with experience shipping production code and models. - Have 3+ years of professional experience with cloud computing platforms (e.g., AWS, GCP). - Are familiar with information retrieval systems, graph-based recommendation systems, or developing large language models.
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
Do you want to build AI-powered software that impacts millions of people every day? The AI Core team, part of Workday’s AI Platform organization, tackles challenging problems at the intersection of machine learning, agentic reasoning, and enterprise-scale systems. Our work delivers critical AI platform capabilities and differentiated, deep-value agent applications.
About the Role
As a Machine Learning Engineer on the AI Core team, you will develop tailored user experiences using advanced Agentic AI, LLMs and RAG. You will collaborate with other engineers to deliver ML solutions across Workday’s product ecosystem and use current software and data engineering stacks to enable training, deployment, and lifecycle management of a variety of ML models; supervised and unsupervised. Additionally, you will develop and deploy new APIs/services using Docker/Kubernetes at scale and leverage Workday’s vast computing resources on rich datasets to deliver transformative value to our customers. Sound like your kind of challenge?
You are a strong technical leader with deep Python expertise and solid software engineering skills, capable of writing beautiful, well-designed code while delivering solutions efficiently. Specifically, you will:
Basic Qualifications:
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please [click here](https://workdaybenefits.com/us/welcome-to-workday-benefits/prospective-workmates).
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
Additional Considerations:
The application deadline for this role is the same as the posting end date stated as below:
04/30/2026
Our Approach to Flexible Work
With Flex Work, we’re 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 you'll 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.
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.