Payroll ML Engineer - Scalable AI for Global HR Data
workdayPleasanton (CA)
Payroll ML Engineer - Scalable AI for Global HR Data
Posted today
workdayPleasanton (CA)
SENIORITY
Lead
About the role
Workday is seeking a Machine Learning Engineer for their Payroll AI and Data team, to design, develop, and deploy AI/ML solutions that scale globally. You will collaborate with product managers, software engineers, and data scientists to turn HR and payroll data into useful product experiences.
You will use Workday’s AI environment to explore data, build models, evaluate performance, and bring ML capabilities into production, enabling predictive analytics and intelligent recommendations for
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
More like this