Senior Machine Learning Engineer - AI Platform

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: Own exploration, design and implementation of features for our

sophisticated ML platforms, pipelines and services. Be responsible for

evaluation, scalability and observability of these features. Apply machine

learning techniques including LLMs and natural language understanding to analyze

large sets of HR and Finance-related text data, and design and launch pioneering

cloud-based machine learning architectures Stay up to date with advancements in

AI, LLMs, RAG, autonomous agents and orchestration frameworks to drive

innovation Serve as a technical role model for more junior engineers About You

Basic

Qualifications

• Bachelor’s (Master’s or PhD preferred) degree in
• engineering, data/computer science, physics, math or equivalent 6+ yrs
• experience as a member of a data science, machine learning engineering, or other
• relevant software development team building applied machine learning products at
• scale, including taking products through applied research, design,
• implementation, production, and production-based evaluation 5+ years of
• professional experience with Python and supporting numeric libraries, with
• experience in shipping production code and models 5+ years of professional
• experience with cloud computing platforms (e.g. AWS, GCP, etc.) Other

Qualifications

• 3+ years of experience in building information retrieval systems
• and/or graph-based recommendation systems. 3+ years of hands-on professional
• experience in developing large language models (LLMs), text generation models,
• or graph-based machine learning models for production, including data
• processing, model fine-tuning, model deployment and model evaluation 3+ years of
• experience building services to host machine learning models in production at
• scale 3+ years of experience in machine learning and deep learning frameworks &
• toolkits such as PySpark, Pytorch, TensorFlow, and Sklearn 3+ years of
• professional experience with data engineering and data wrangling using e.g.
• Pandas and PySpark and other industry tools used to build scalable machine
• learning systems, such as Kubernetes and Docker Deep understanding of
• statistical analysis, unsupervised and supervised machine learning algorithms,
• and natural language processing for information retrieval and/or recommendation
• system use cases Professional experience in independently solving ambiguous,
• open-ended problems and technically leading teams Workday Pay Transparency
• Statement 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. 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: 07/17/2026 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. Workday is an Equal
• Opportunity Employer including individuals with disabilities and protected
• veterans. 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
• [email protected]. Are you being referred to one of our roles? If so,
• ask your connection at Workday about our Employee Referral process! At Workday,
• we value our candidates’ privacy and data security. Workday will never ask
• candidates to apply to jobs through websites that are not Workday Careers.
• Please be aware of sites that may ask for you to input your data in connection
• with a job posting that appears to be from Workday but is not. In addition,
• Workday will never ask candidates to pay a recruiting fee, or pay for consulting
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learn more on our stance on being a proud equal opportunity workplace, pay

transparency and accommodation support. Workday is proud to be an equal

opportunity workplace. Individuals seeking employment at Workday are considered

without regards to age, ancestry, color, gender (including pregnancy,

childbirth, or related medical conditions), gender identity or expression,

genetic information, marital status, medical condition, mental or physical

disability, national origin, protected family care or medical leave status,

race, religion (including beliefs and practices or the absence thereof), sexual

orientation, military or veteran status, or any other characteristic protected

by federal, state, or local laws. Further, pursuant to applicable local

ordinances, Workday will consider for employment qualified applicants with

arrest and conviction records. We do not accept resumes from headhunters,

placement agencies, or other suppliers that have not signed a formal agreement

with us. You may view the Workday's Pay Transparency Policy, and Know Your

Rights Notice, by clicking on their corresponding links. Workday is committed to

providing reasonable accommodations for qualified individuals with disabilities,

disabled veterans, and others during our application process. If you need

assistance or an accommodation due to a disability or for religious reasons,

contact us at [email protected].