This role involves designing and building core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod
Job Summary
This role involves designing and building core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod.
Candidates will implement frameworks for LLM-powered agents including RAG pipelines, workflow orchestration, and evaluation loops to ensure solutions are scalable and enterprise-ready.
The position offers the opportunity to work at the intersection of AI, platform architecture, and human workflows with autonomy to shape how agents reason and scale responsibly.
Matching Summary
This role involves designing and building core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod.
Salary
Base: $188,000 - $282,000 CAD; Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants; Benefits: Comprehensive benefits package available
Skills & Requirements
Must-have
4+ years applied machine learning experience
2+ years PyTorch or TensorFlow experience
3+ years hosting ML models in production
2+ years Large Language Models (LLMs) experience
3+ years cloud computing platforms AWS GCP
Nice-to-have
Deep understanding of statistical analysis
Experience with graph neural network models
Proven track record of mentoring teams
Ability to solve ambiguous open-ended problems
Strong interpersonal and communication skills
Key Requirements
Bachelor's degree in engineering, computer science, physics, math or equivalent
Master's or PhD preferred
Proven track record of leading and managing ML Engineering teams