Machine Learning Engineer - Evisort

Workday

Vancouver, BC, Canada
Base: $128,000 cad - $192,000 cad; bonus/equity: w...
Fully remote
Machine learning engineering at scale
Deep learning frameworks (pytorch, tensorflow)
Building production ml services
Our mission is to change the way business deals get done by building groundbreaking AI technology that can read and understand contract language

Job Summary

  • Our mission is to change the way business deals get done by building groundbreaking AI technology that can read and understand contract language.
  • As a Machine Learning Engineer, you will help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis.
  • We’re obsessed with making hard work pay off, for our people, our customers, and the world around us.

Matching Summary

Our mission is to change the way business deals get done by building groundbreaking AI technology that can read and understand contract language.

Salary

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

Skills & Requirements

Must-have

  • Machine Learning Engineering at scale
  • Deep Learning frameworks (PyTorch, TensorFlow)
  • Building production ML services
  • Large Language Models (LLMs)
  • Cloud computing platforms (AWS, GCP)

Nice-to-have

  • Continuous improvement approach
  • Product approach and customer experience intuition
  • Curious and challenging mindset
  • Sun-drenched optimism and drive
  • Courageous collaborators

Key Requirements

  • 5+ years ML product development
  • 2+ years ML/DL frameworks
  • 2+ years production ML services
  • 2+ years LLMs/GNNs
  • 2+ years cloud platforms
  • Bachelor's degree in STEM
  • 6+ years ML product development (Sr. MLE)
  • 3+ years ML/DL frameworks (Sr. MLE)
  • 3+ years production ML services (Sr. MLE)
  • 3+ years LLMs/GNNs (Sr. MLE)
  • 3+ years cloud platforms (Sr. MLE)

Work Rights

Not specified

Tailored Resume

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