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, planning, and swarm agents that interact seamlessly with enterprise data to support continuous life-long learning.
The position offers a people-first culture that balances high-intensity innovation with sustainable work-life integration and full ownership of impactful AI-first products.
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
Deep learning and NLP expertise
Generative AI and Agentic Systems experience
Expert-level Python programming skills
RAG architectures and LangChain frameworks
Text-to-SQL and long-context LLM applications
Cloud-native deployment with Docker and Kubernetes
A/B testing and model evaluation frameworks
Nice-to-have
DSPy and Reinforcement Learning proficiency
Graph neural networks and multi-modal models
PySpark and large-scale data processing
Mentoring junior engineers and cross-functional leadership
Peer-reviewed research publications in quantitative fields
Key Requirements
3+ years production ML experience for MLE III
6+ years production ML experience for Senior MLE
Master's or Ph.D. in quantitative field preferred
Advanced degree or strong peer-reviewed research portfolio