**Who this is for** This role is for experienced Machine Learning Engineers interested in building the next generation of "AI-first" products within a large-sca
Work type: hybrid
Location: USA, CO, Boulder
Type: Full-time
**Who this is for** This role is for experienced Machine Learning Engineers interested in building the next generation of "AI-first" products within a large-scale enterprise environment. **Key highlights** You will work within the AI Platform team to develop agent optimization frameworks, semantic search systems, and MLOps pipelines that impact 31 million global users. **You might be a good fit if you...** - Have deep experience building and deploying Agentic AI or Large Language Model (LLM) workflows. - Are proficient in information retrieval, semantic parsing, and vector search technologies. - Possess strong MLOps skills, particularly in designing scalable evaluation frameworks and cloud-based production pipelines. - Enjoy solving complex technical challenges using high-integrity, large-scale enterprise datasets.
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
This is a very exciting opening in the AI Platform team in our Agent Optimization & Evaluation, and Information Retrieval team.. We are the Optimization and "Ground Truth" engine for Workday’s AI transformation, building the critical infrastructure that empowers over 65% of the Fortune 500.
Our mission is two-fold:
1. Agent Optimization & Evaluation: Providing the algorithms and rigorous data-driven frameworks to validate, scale, and optimize AI agents across our entire enterprise suite.
2. Information Retrieval: Developing the intelligence layer that bridges human language and enterprise data through advanced semantic search and natural language-to-code (SQL/Python) execution.
Why Join Us?
1. The Data & Frontier: Solve unique challenges in Agentic AI using exclusive, high-integrity enterprise datasets.
2. Impact at Scale: Your work acts as the optimizer and gatekeeper of quality for products reaching 31 million users globally.
3. People-First Culture: We balance high-intensity innovation with a commitment to sustainable work-life integration.
About the Role
We are looking for creative, results-focused ML Engineers and Senior ML Engineers to help us build the next generation of "AI-first" products.
We are seeking pragmatic ML and Senior 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:
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: $171,600 USD - $257,400 USD
Additional US Location(s) Base Pay Range: $163,000 USD - $288,000 USD
Additional Considerations:
The application deadline for this role is the same as the posting end date stated as below:
05/18/2026
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.