2+ years pytorch or tensorflow framework experience
3+ years hosting ml models in production at scale
This role involves designing and building the 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 the 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 culture rooted in integrity and empathy, providing trust to take risks, tools to grow, and support for long-term development.
Matching Summary
This role involves designing and building the 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 framework experience
3+ years hosting ML models in production at scale
2+ years working with Large Language Models (LLMs)
3+ years cloud computing platform experience
Nice-to-have
Experience leading and mentoring ML engineering teams
Deep understanding of statistical analysis and NLP
Ability to solve ambiguous open-ended problems
Strong interpersonal and communication skills
Knowledge of autonomous agents and orchestration frameworks
Key Requirements
Bachelor's degree in engineering, computer science, physics, math or equivalent
Master's or PhD preferred
Proven track record of leading ML Engineering teams