This role serves as the Optimization and Ground Truth engine for Workday's AI transformation, empowering over 65% of the Fortune 500
Job Summary
This role serves as the Optimization and Ground Truth engine for Workday's AI transformation, empowering over 65% of the Fortune 500.
You will architect sophisticated reasoning and planning agents while driving meta-ML optimization to identify the best LLM configurations for every workflow step.
The position offers the opportunity to solve unique challenges in Agentic AI using exclusive, high-integrity enterprise datasets with a team committed to sustainable innovation.
Matching Summary
This role serves as the Optimization and Ground Truth engine for Workday's AI transformation, empowering over 65% of the Fortune 500.
Salary
Base: $156,000 CAD - $234,000 CAD (Toronto); Base: $163,000 USD - $288,000 USD (US locations); Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants
Skills & Requirements
Must-have
3+ years production ML system experience
Deep learning NLP Information Retrieval expertise
PyTorch or TensorFlow framework proficiency
RAG architectures and agentic frameworks
LangChain or LangGraph implementation skills
Text-to-SQL and long-context LLM applications
Expert-level Python asynchronous patterns
Nice-to-have
DSPy optimization techniques
Reinforcement learning and imitation learning
Graph neural networks and multi-modal models
A/B testing and golden dataset curation
Cross-functional leadership and mentorship
Sustainable work-life integration culture
Key Requirements
3+ years experience for MLE III level
6+ years experience for Senior MLE level
Master's or Ph.D. in quantitative field preferred
Peer-reviewed research publications portfolio
Hands-on MLOps and cloud-native deployment experience