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 usage
3+ years hosting ml models in production at scale
This role involves designing and building the 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 the 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, workflow orchestration, and evaluation loops to ensure enterprise-ready solutions.
  • Workday offers a flexible work approach requiring at least half of the time each quarter to be spent in-office or with customers, combined with competitive compensation packages.

Matching Summary

This role involves designing and building the 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 usage
  • 3+ years hosting ML models in production at scale
  • 2+ years working with Large Language Models
  • 3+ years cloud computing platform experience

Nice-to-have

  • Deep understanding of statistical analysis algorithms
  • Experience leading and mentoring engineering teams
  • Ability to solve ambiguous open-ended problems
  • Strong interpersonal and communication skills
  • Knowledge of graph neural network models

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
  • Experience taking products through applied research to production

Work Rights

Not specified

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