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

Workday

Toronto, ON, Canada
Base: $156,000 cad - $234,000 cad (toronto); base:...
Hybrid
3+ years production-grade ml systems experience
Deep learning nlp information retrieval expertise
Pytorch or tensorflow framework proficiency
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 team offers a people-first culture balancing 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

  • 3+ years production-grade ML systems experience
  • Deep learning NLP Information Retrieval expertise
  • PyTorch or TensorFlow framework proficiency
  • RAG architectures and agentic frameworks
  • Text-to-SQL long-context LLM applications
  • Expert-level Python asynchronous patterns
  • Cloud-native deployment Docker K8s AWS GCP

Nice-to-have

  • DSPy Reinforcement Learning imitation learning
  • Graph neural networks multi-modal models
  • A/B testing Knowledge Graphs Golden Dataset
  • Cross-functional leadership mentoring junior engineers
  • Creative problem-solving for global-scale systems
  • Test-everything mindset with rigorous evaluation

Key Requirements

  • 3+ years deep technical ML capability (MLE III)
  • 6+ years deep technical ML leadership (Senior MLE)
  • Advanced degree Master's or Ph.D. in quantitative field
  • Peer-reviewed research publications portfolio
  • Hands-on experience with full ML lifecycle MLOps

Work Rights

Not specified

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