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

WORKDAY AUSTRALIA PTY

Toronto, Ontario, Canada
Base: $156,000 - $234,000 cad (toronto); base: $16...
Hybrid
3+ years production ml system experience
Deep learning nlp and 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 while supporting continuous lifelong learning.
  • 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 annual refresh stock grants; Benefits: Comprehensive benefits package including flexible work arrangements

Skills & Requirements

Must-have

  • 3+ years production ML system experience
  • Deep learning NLP and Information Retrieval expertise
  • PyTorch or TensorFlow framework proficiency
  • RAG architectures and agentic frameworks like LangChain
  • Text-to-SQL and long-context LLM applications
  • Expert-level Python with asynchronous patterns
  • Cloud-native deployment using Docker and Kubernetes

Nice-to-have

  • Experience with DSPy and Reinforcement Learning
  • Graph neural networks and multi-modal models
  • A test-everything mindset with A/B testing
  • Knowledge Graphs and Golden Dataset curation
  • Cross-functional leadership and mentoring skills
  • Peer-reviewed research publications in quantitative fields

Key Requirements

  • Master's or Ph.D. in a quantitative field
  • 3+ years of deep technical ML capability
  • 6+ years for Senior Machine Learning Engineer level
  • 0.5+ years of Generative AI and Agentic Systems experience
  • 1+ year for Senior level Generative AI experience

Work Rights

Not specified

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