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 experience
3+ years hosting ml models in production
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 and evolve frameworks for LLM-powered agents, including RAG pipelines and workflow orchestration, ensuring solutions are scalable and enterprise-ready.
  • Workday offers a culture rooted in integrity and empathy, providing the trust to take risks and tools to grow for those who bring curious minds and courageous collaboration.

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 experience
  • 3+ years hosting ML models in production
  • 2+ years Large Language Model implementation
  • 3+ years cloud computing platform experience

Nice-to-have

  • Deep understanding of statistical analysis
  • Experience with graph neural network models
  • Proven track record of team leadership
  • Ability to solve ambiguous open-ended problems
  • Strong interpersonal and communication skills

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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