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 and workflow orchestration, ensuring solutions are scalable and enterprise-ready.
Workday offers a flexible work approach requiring at least 50% time in-office or field per quarter, combined with competitive compensation and stock grants.
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 (Vancouver); Base: $128,000 - $192,000 CAD (Other CAN locations); Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants
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 Model (LLM) experience
3+ years cloud computing platform experience
Nice-to-have
Experience with graph neural network models
Deep understanding of statistical analysis
Proven track record of leading 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 mentoring and managing ML Engineering teams