Machine Learning Engineer Iii / Senior Machine Learning Engineer - Ai Platform

Workday

Toronto, Ontario, Canada
Base: $156,000 - $234,000 cad; bonus/equity: eligi...
Hybrid
3+ years production ml system experience
Deep learning and nlp expertise
Rag architectures and agentic frameworks
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 to support continuous life-long learning.
  • The position offers the opportunity to solve unique challenges in Agentic AI using exclusive, high-integrity enterprise datasets while balancing innovation with sustainable work-life integration.

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 - $234,000 CAD; Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants; Benefits: Comprehensive benefits package including flexible work options

Skills & Requirements

Must-have

  • 3+ years production ML system experience
  • Deep learning and NLP expertise
  • RAG architectures and agentic frameworks
  • Text-to-SQL and long-context LLM applications
  • Expert-level Python with asynchronous patterns
  • Cloud-native deployment on K8s or Docker

Nice-to-have

  • DSPy and Reinforcement Learning proficiency
  • Graph neural networks and multi-modal models
  • A/B testing and golden dataset curation
  • Mentoring junior engineers and cross-functional leadership
  • PySpark and large-scale data processing

Key Requirements

  • Master's or Ph.D. in quantitative field
  • Peer-reviewed research publications portfolio
  • 3+ years deep technical ML capability
  • 6+ years for Senior MLE level
  • Hands-on MLOps lifecycle experience

Work Rights

Not specified

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