Senior Machine Learning Engineer

Workday

Toronto, ON, CA
Base: $156,000 - $234,000 cad; bonus/equity: role ...
On-site
Design, develop, and deploy scalable ml models
End-to-end ml lifecycle ownership
Python and strong software engineering fundamentals
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us

Job Summary

  • We’re obsessed with making hard work pay off, for our people, our customers, and the world around us.
  • Our AI organization is responsible for seamlessly embedding cutting-edge machine learning, Generative AI, and autonomous agents directly into Workday's core platform.
  • 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 obsessed with making hard work pay off, for our people, our customers, and the world around us.

Salary

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

Skills & Requirements

Must-have

  • design, develop, and deploy scalable ML models
  • end-to-end ML lifecycle ownership
  • Python and strong software engineering fundamentals
  • PyTorch, TensorFlow, Scikit-learn, Hugging Face
  • deploy ML models into production systems
  • AWS or GCP, Docker, Kubernetes

Nice-to-have

  • curious minds and courageous collaborators
  • sun-drenched optimism and drive
  • Responsible AI principles
  • transition emerging AI capabilities

Key Requirements

  • 7+ years of industry experience
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related quantitative field (or equivalent practical experience)

Work Rights

Not specified

Tailored Resume

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