Sr Associate And Machine Learning Engineer

Hyundaiofwesleychapel

Vancouver, BC, Canada
Base: $128,000 - $192,000 cad; bonus/equity: eligi...
Fully remote
Machine learning engineering at scale
Experience with large language models
Cloud computing platforms expertise
As a Machine Learning Engineer in Agent Factory, you will design and build the core ML systems behind Workday’s next generation of AI agents working in a small, senior, cross-functional pod

Job Summary

  • As a Machine Learning Engineer in Agent Factory, you will design and build the core ML systems behind Workday’s next generation of AI agents working in a small, senior, cross-functional pod.
  • Workday offers a culture rooted in integrity, empathy, and shared enthusiasm, providing trust, tools, skills development, and long-term support for employees.
  • The role involves working at the intersection of AI, platform architecture, and human workflows with autonomy to shape scalable, reliable, and explainable AI agent systems.

Matching Summary

As a Machine Learning Engineer in Agent Factory, you will design and build the core ML systems behind Workday’s next generation of AI agents working in a small, senior, cross-functional pod.

Salary

Base: $128,000 - $192,000 CAD; Bonus/Equity: Eligible for Workday Bonus Plan and stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • Machine learning engineering at scale
  • Experience with large language models
  • Cloud computing platforms expertise
  • Building production ML model services
  • Deep learning frameworks such as Pytorch and TensorFlow
  • Leading and mentoring ML engineering teams

Nice-to-have

  • Strong engineering judgment
  • Collaboration across disciplines
  • Curious and courageous mindset
  • Focus on integrity and empathy
  • Flexible work environment
  • Experience with RAG pipelines and workflow orchestration

Key Requirements

  • 4+ years in applied machine learning product development
  • 2+ years experience with ML and deep learning frameworks
  • 3+ years building ML model hosting services at scale
  • 2+ years working with large language models or graph neural networks
  • 3+ years experience with cloud platforms like AWS or GCP
  • Proven leadership and mentoring in ML engineering teams
  • Bachelor’s degree in engineering, computer science, physics, math or equivalent

Work Rights

Not specified

Tailored Resume

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