Sr Associate And Machine Learning Engineer

Workday

Vancouver, BC, Canada
Base: $188,000 - $282,000 cad (vancouver); base: $...
Fully remote
4+ years applied machine learning experience
2+ years pytorch or tensorflow framework experience
3+ years hosting ml models in production at scale
This role involves designing and building core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod

Job Summary

  • This role involves designing and building core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod.
  • Candidates will implement frameworks for LLM-powered agents, including RAG pipelines and workflow orchestration, ensuring solutions are scalable and enterprise-ready.
  • Workday offers a flexible work approach requiring at least 50% time in the office or field each quarter, combined with competitive compensation and benefits.

Matching Summary

This role involves designing and building core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod.

Salary

Base: $188,000 - $282,000 CAD (Vancouver); Base: $128,000 - $192,000 CAD (Other CAN locations); Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants

Skills & Requirements

Must-have

  • 4+ years applied machine learning experience
  • 2+ years PyTorch or TensorFlow framework experience
  • 3+ years hosting ML models in production at scale
  • 2+ years working with Large Language Models (LLMs)
  • 3+ years cloud computing platform experience

Nice-to-have

  • Experience leading and mentoring ML engineering teams
  • Deep understanding of statistical analysis and NLP
  • Ability to solve ambiguous open-ended problems
  • Strong interpersonal and communication skills
  • Knowledge of autonomous agents and orchestration frameworks

Key Requirements

  • Bachelor's degree in engineering, computer science, physics, math or equivalent
  • Master's or PhD preferred
  • Proven track record of leading ML engineering teams
  • Ownership of development lifecycle and sprint planning

Work Rights

Not specified

Tailored Resume

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