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 and nlp expertise
Pytorch or tensorflow framework proficiency
The role focuses on architecting sophisticated reasoning and planning agents that interact seamlessly with enterprise data to support continuous lifelong learning

Job Summary

  • The role focuses on architecting sophisticated reasoning and planning agents that interact seamlessly with enterprise data to support continuous lifelong learning.
  • Candidates will drive the optimization of AI agents by developing algorithms for automated node-level tuning and building recommender systems for engineering teams.
  • Workday offers a people-first culture balancing high-intensity innovation with sustainable work-life integration while providing access to exclusive, high-integrity enterprise datasets.

Matching Summary

The role focuses on architecting sophisticated reasoning and planning agents that interact seamlessly with enterprise data to support continuous lifelong learning.

Salary

Base: $156,000 - $234,000 CAD (Toronto); Base: $163,000 - $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 and NLP expertise
  • PyTorch or TensorFlow framework proficiency
  • RAG architectures and agentic frameworks
  • Text-to-SQL and long-context LLM applications
  • Expert-level Python with async patterns
  • Cloud-native deployment with Docker/K8s

Nice-to-have

  • DSPy and Reinforcement Learning techniques
  • Graph neural networks and multi-modal models
  • A/B testing and golden dataset curation
  • Mentoring junior engineers and cross-functional leadership
  • Peer-reviewed research publications in quantitative fields

Key Requirements

  • Master's or Ph.D. in quantitative field
  • 3+ years deep technical ML capability (MLE III)
  • 6+ years deep technical ML leadership (Senior MLE)
  • 0.5+ years Generative AI and Agentic Systems experience
  • 1+ years Generative AI experience for Senior roles

Work Rights

Not specified

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