Senior Machine Learning Engineer

Workday

Toronto, ON, Canada
Base: $156,000 - $234,000 cad; bonus/equity: role ...
On-site
Design, develop, and deploy scalable ml models
End-to-end ml lifecycle ownership
Cross-functional collaboration with product teams
We’re building the intelligence layer that powers the future of work for millions of global users by embedding cutting-edge machine learning, Generative AI, and autonomous agents directly into Workday's core platform

Job Summary

  • We’re building the intelligence layer that powers the future of work for millions of global users by embedding cutting-edge machine learning, Generative AI, and autonomous agents 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’re building the intelligence layer that powers the future of work for millions of global users by embedding cutting-edge machine learning, Generative AI, and autonomous agents directly into Workday's core platform.

Salary

Base: $156,000 - $234,000 CAD; Bonus/Equity: role may be eligible for bonus/commission/stock grants; Benefits: comprehensive benefits package

Skills & Requirements

Must-have

  • design, develop, and deploy scalable ML models
  • end-to-end ML lifecycle ownership
  • cross-functional collaboration with product teams
  • drive technical excellence and MLOps
  • Python and ML framework expertise

Nice-to-have

  • curious minds and courageous collaborators
  • sun-drenched optimism and drive
  • meaningful work with supportive colleagues
  • trust to take risks and grow

Key Requirements

  • 7+ years of industry experience
  • Expert-level Python proficiency
  • Deep hands-on experience with ML/DL libraries
  • Proven track record of production ML deployment
  • Solid experience with cloud platforms and infrastructure tools
  • Bachelor's or Master's degree or equivalent experience

Work Rights

Not specified

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