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 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 must have a proven track record of successfully leading, mentoring, and managing ML Engineering teams while fostering a culture of collaboration.
  • The position offers a competitive salary range of $188,000 - $282,000 CAD depending on location, along with bonus plans and stock grants.

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); 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

  • Master's or PhD in engineering or computer science
  • Experience with graph neural network models
  • Deep understanding of statistical analysis
  • Proven track record leading ML teams
  • Ability to solve ambiguous open-ended problems

Key Requirements

  • Bachelor's degree required; Master's or PhD preferred
  • Must have 4+ years experience as Sr Associate
  • Must have 3+ years experience as Machine Learning Engineer
  • Proven leadership and mentoring experience required

Work Rights

Not specified

Tailored Resume

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