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

Workday

Toronto, ON, Canada
Base: $156,000 - $234,000 cad (toronto); base: $16...
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 while driving meta-ML optimization to identify the best LLM configurations for every workflow step.
  • 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 - $234,000 CAD (Toronto); Base: $163,000 - $288,000 USD (US locations); Bonus/Equity: Eligible for Workday Bonus Plan and 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 long-context LLM applications
  • Expert-level Python asynchronous patterns

Nice-to-have

  • DSPy Reinforcement Learning techniques
  • Graph neural networks multi-modal models
  • A/B testing Knowledge Graphs curation
  • Cross-functional team leadership skills
  • Mentoring junior engineers capability

Key Requirements

  • 3+ years deep technical ML capability
  • 0.5+ years Generative AI & Agentic Systems
  • 0.5+ years expert-level Python engineering
  • Advanced degree in quantitative field
  • 6+ years Deep Technical ML Leadership (Senior)

Work Rights

Not specified

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