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 that interact seamlessly with enterprise data while supporting continuous lifelong learning.
The position offers a people-first culture that balances high-intensity innovation with sustainable work-life integration and full ownership of impactful projects.
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 and NLP expertise
PyTorch or TensorFlow framework proficiency
RAG architectures and agentic frameworks
LangChain or LangGraph experience
Text-to-SQL and long-context LLMs
Python asynchronous patterns and modular design
Nice-to-have
DSPy and Reinforcement Learning techniques
Graph neural networks and multi-modal models
A/B testing and golden dataset curation
Mentoring junior engineers and cross-functional leadership
Creative problem-solving in ambiguous environments
Key Requirements
Master's or Ph.D. in quantitative field
Peer-reviewed research publications portfolio
3+ years deep technical ML capability (MLE III)
6+ years deep technical ML leadership (Senior MLE)
Cloud-native deployment experience with Docker/K8s