Sr Machine Learning Engineer

Workday

Toronto, ON, Canada
Base: $156,000 - $234,000 cad; bonus/equity: may b...
Fully remote
Machine learning models
Agentic systems
Production ml models and systems
Lead the design, development, and deployment of novel agentic systems and core machine learning models that power AI-driven capabilities

Job Summary

  • Lead the design, development, and deployment of novel agentic systems and core machine learning models that power AI-driven capabilities.
  • Design and implement the end-to-end machine learning pipeline (MLOps), ensuring model scalability, reliability, and consumption via robust APIs.
  • Own ML models and systems through their full lifecycle, including deployment, monitoring, debugging, and ongoing operational improvements.

Matching Summary

Lead the design, development, and deployment of novel agentic systems and core machine learning models that power AI-driven capabilities.

Salary

Base: $156,000 - $234,000 CAD; Bonus/Equity: May be eligible for Workday Bonus Plan or role-specific commission/bonus, and annual refresh stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • Machine learning models
  • Agentic systems
  • Production ML models and systems
  • Advanced Python development
  • MLOps pipeline
  • Large-scale datasets
  • Distributed systems principles

Nice-to-have

  • Curious minds
  • Courageous collaborators
  • Sun-drenched optimism
  • Genuine care
  • Empathy
  • Shared enthusiasm

Key Requirements

  • 8+ years ML/AI engineering experience
  • 5+ years advanced Python development
  • Bachelor's degree or equivalent experience
  • Expertise in designing, training, evaluating ML models
  • Expertise building agentic systems and leveraging LLMs
  • Proficiency with ML frameworks and MLOps tools
  • Proficiency with unix systems and cloud platforms

Work Rights

Not specified

Tailored Resume

Cover Letter