We’re forming small, senior, cross-functional AI teams to create intelligent agents used by millions of people every day
Job Summary
We’re forming small, senior, cross-functional AI teams to create intelligent agents used by millions of people every day.
As a Principal Machine Learning Engineer, you’ll design and build the core ML systems behind Workday’s next generation of AI agents.
Our culture is rooted in integrity, empathy, and shared enthusiasm, and we offer trust to take risks, tools to grow, and support for the long haul.
Matching Summary
We’re forming small, senior, cross-functional AI teams to create intelligent agents used by millions of people every day.
Salary
Base: $228,000 USD - $342,000 USD; Bonus/Equity: May be eligible for Workday Bonus Plan or role-specific commission/bonus, annual refresh stock grants; Benefits: Comprehensive benefits package
Skills & Requirements
Must-have
design and build core ML systems
production-grade AI
ML frameworks like Pytorch, TensorFlow
building services for ML models
large language models (LLMs)
cloud computing platforms (AWS, GCP)
Nice-to-have
curious minds and courageous collaborators
sun-drenched optimism and drive
deep understanding of NLP
independently solving ambiguous problems
Key Requirements
10+ years experience in applied ML products
4+ years experience in ML/deep learning frameworks
6+ years experience building ML model hosting services
3+ years experience with LLMs or GNNs
6+ years experience with cloud platforms
Bachelor's degree in engineering, computer science, physics, math or equivalent