Machine Learning Engineer - Evisort

IKSB

Vancouver, BC, CA
Base: $128,000 cad - $192,000 cad; bonus/equity: e...
Fully remote
Machine learning model deployment at scale
Experience with large language models (llms)
Proficiency in deep learning frameworks like pytorch and tensorflow
We build groundbreaking 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 groundbreaking 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 develop and deploy new products at scale leveraging Workday’s vast computing resources on rich datasets to deliver transformative value to our customers.
  • Our culture is rooted in integrity, empathy, and shared enthusiasm, fostering collaboration and innovation within a startup-like team environment backed by a Fortune 500 company.

Matching Summary

We build groundbreaking 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: Eligible for Workday Bonus Plan and stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • Machine learning model deployment at scale
  • Experience with large language models (LLMs)
  • Proficiency in deep learning frameworks like Pytorch and TensorFlow
  • Cloud computing platforms experience (AWS, GCP)
  • Applied machine learning product development
  • Collaboration across engineering teams

Nice-to-have

  • Strong sense of ownership and teamwork
  • Curiosity and continuous improvement mindset
  • Product-focused machine learning intuition
  • Excellent interpersonal and communication skills
  • Leadership and mentoring experience
  • Passion for quality, scale, and security

Key Requirements

  • 5+ years machine learning engineering experience
  • 2+ years experience with LLMs and graph neural networks
  • 2+ years experience with cloud platforms like AWS or GCP
  • Bachelor’s degree in engineering, computer science, or related field
  • Experience building production ML services
  • Senior role requires 6+ years and 3+ years in key skills

Work Rights

Not specified

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