Machine Learning Engineer - Evisort

Workday

Vancouver, BC, Canada
Base: $128,000 cad - $192,000 cad; bonus/equity: w...
Fully remote
Machine learning and deep learning frameworks
Building services to host ml models
Large language models (llms)
We build ground breaking AI technology that can read and understand contract language to make every part of the deal-making process faster, better, with reduced risks

Job Summary

  • We build ground breaking AI technology that can read and understand contract language to make every part of the deal-making process faster, better, with reduced risks.
  • You will collaborate with other engineers to deliver ML solutions across Workday’s product ecosystem and utilize software and data engineering stacks to enable training, deployment, and lifecycle management of various ML models.
  • Our culture is rooted in integrity, empathy, and shared enthusiasm; we look for curious minds and courageous collaborators who bring sun-drenched optimism and drive.

Matching Summary

We build ground breaking AI technology that can read and understand contract language to make every part of the deal-making process faster, better, with reduced risks.

Salary

Base: $128,000 CAD - $192,000 CAD; Bonus/Equity: Workday Bonus Plan or role-specific commission/bonus, annual refresh stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • Machine learning and deep learning frameworks
  • Building services to host ML models
  • Large language models (LLMs)
  • Cloud computing platforms (AWS, GCP)
  • Applied research and implementation

Nice-to-have

  • Continuous improvement and quality focus
  • Curiosity and challenging choices
  • Product approach and customer experience
  • Ownership and teamwork
  • Staying up to date with AI advancements

Key Requirements

  • 5+ years experience in ML product development
  • 2+ years experience in ML/DL frameworks
  • 2+ years experience hosting ML models in production
  • 2+ years experience with LLMs or GNNs
  • 2+ years experience with cloud platforms
  • Bachelor's degree in STEM field

Work Rights

Not specified

Tailored Resume

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