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 ml system 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 and planning agents that interact seamlessly with enterprise data to support continuous lifelong learning.
  • The position offers the opportunity to solve unique challenges in Agentic AI using exclusive, high-integrity enterprise datasets at a global scale.

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
  • Text-to-SQL and long-context LLM applications
  • Expert-level Python asynchronous patterns

Nice-to-have

  • DSPy and Reinforcement Learning techniques
  • Graph neural networks and multi-modal models
  • A/B testing and golden dataset curation
  • Cross-functional leadership and mentoring
  • Sustainable work-life integration culture

Key Requirements

  • Master's or Ph.D. in quantitative field
  • Peer-reviewed research publications portfolio
  • Cloud-native deployment experience Docker K8s AWS GCP
  • Model fine-tuning PEFT and evaluation frameworks

Work Rights

Not specified

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