Senior Machine Learning Engineer

Workday

Toronto, Ontario, Canada
Base: $156,000 - $234,000 cad; bonus/equity: not s...
On-site
Scalable machine learning models
End-to-end ml lifecycle ownership
Production-grade ai solutions
We are building the intelligence layer that powers the future of work for millions of global users, embedding cutting-edge machine learning directly into Workday's core platform

Job Summary

  • We are building the intelligence layer that powers the future of work for millions of global users, embedding cutting-edge machine learning directly into Workday's core platform.
  • As part of our team, you will operate at the intersection of deep applied research and scalable engineering, developing sophisticated LLM-powered agents and advancing our next-generation AI engine.
  • In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul.

Matching Summary

We are building the intelligence layer that powers the future of work for millions of global users, embedding cutting-edge machine learning directly into Workday's core platform.

Salary

Base: $156,000 - $234,000 CAD; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Scalable machine learning models
  • End-to-end ML lifecycle ownership
  • Production-grade AI solutions
  • Python and software engineering fundamentals
  • ML framework expertise (PyTorch, TensorFlow)
  • Cloud platforms (AWS or GCP)

Nice-to-have

  • Curious minds and courageous collaborators
  • Sun-drenched optimism and drive
  • Responsible AI principles
  • Cross-functional collaboration skills

Key Requirements

  • 7+ years of industry experience
  • Expert-level proficiency in Python
  • Deep hands-on experience with ML/DL libraries
  • Proven track record of production deployment
  • Solid experience with cloud computing platforms
  • Bachelor's or Master's degree in a quantitative field

Work Rights

Not specified

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