As a Senior/Principal Machine Learning Engineer, you will own the full lifecycle of ML systems for Workday’s AI agents, working in small, senior, cross-functional teams
Job Summary
As a Senior/Principal Machine Learning Engineer, you will own the full lifecycle of ML systems for Workday’s AI agents, working in small, senior, cross-functional teams.
The role offers autonomy to shape agentic architectures and build scalable, reliable, and explainable AI systems embedded into Workday’s platform.
Workday fosters a culture rooted in integrity, empathy, and enthusiasm, providing trust, tools, and support for long-term career growth.
Matching Summary
As a Senior/Principal Machine Learning Engineer, you will own the full lifecycle of ML systems for Workday’s AI agents, working in small, senior, cross-functional teams.
Salary
Base: $190,600 USD - $342,000 USD; Bonus/Equity: Eligible for Workday Bonus Plan and stock grants; Benefits: Comprehensive benefits package
Skills & Requirements
Must-have
Machine learning product development at scale
Experience with PyTorch and TensorFlow
Building production ML model hosting services
Working with large language models and text generation
Cloud computing platforms like AWS or GCP
Leading and mentoring ML engineering teams
Nice-to-have
Curious and courageous collaborator
Strong engineering judgment
Excellent interpersonal and communication skills
Ability to solve ambiguous, open-ended problems
Culture of collaboration and continuous improvement
Key Requirements
10+ years in applied machine learning for Principal role
7+ years in applied machine learning for Senior role
4+ years professional experience with ML frameworks
6+ years building ML model hosting services
3+ years experience with large language models
6+ years cloud platform experience
Proven leadership and mentoring experience
Bachelor’s degree required; Master’s or PhD preferred