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

Workday

Toronto, Ontario, 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 swarm agents that interact seamlessly with enterprise data while supporting continuous life-long learning.
  • The team offers a people-first culture that balances high-intensity innovation with a commitment to 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 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
  • LangChain or LangGraph implementation skills
  • Text-to-SQL long-context LLM applications
  • Expert-level Python asynchronous patterns

Nice-to-have

  • DSPy optimization techniques
  • Reinforcement learning and imitation learning
  • Graph neural networks and multi-modal models
  • Knowledge Graphs and Golden Dataset curation
  • Cross-functional leadership and mentorship
  • 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
  • Large-scale data processing PySpark SQL proficiency

Work Rights

Not specified

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