Machine Learning Engineer - Evisort

Workday

Vancouver, BC, Canada
Base: $128,000 cad - $192,000 cad; bonus/equity: n...
On-site
Applied machine learning products at scale
Machine learning and deep learning frameworks
Building services to host ml models
As a Machine Learning Engineer, you will help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis

Job Summary

  • As a Machine Learning Engineer, you will help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis.
  • 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.
  • We build ground breaking AI technology that can read and understand contract language to make every part of the deal-making process from drafting, negotiating, reviewing, approving, or managing the contracts happen faster, better, with reduced risks.

Matching Summary

As a Machine Learning Engineer, you will help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis.

Salary

Base: $128,000 CAD - $192,000 CAD; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • applied machine learning products at scale
  • machine learning and deep learning frameworks
  • building services to host ML models
  • large language models (LLMs)
  • cloud computing platforms

Nice-to-have

  • continuous improvement
  • passion for quality, scale, and security
  • product approach
  • strong intuition around ML
  • curious and courageous collaborators

Key Requirements

  • 5+ years experience as a member of a data science, machine learning engineering, or other relevant software development team
  • 2+ years of professional experience in machine learning and deep learning frameworks & toolkits such as Pytorch, TensorFlow
  • 2+ years of professional experience in building services to host machine learning models in production at scale
  • 2+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph neural network models
  • 2+ years of proven experience with cloud computing platforms (e.g. AWS, GCP, etc.)
  • Bachelor’s (Master’s or PhD preferred) degree in engineering, computer science, physics, math or equivalent

Work Rights

Not specified

Tailored Resume

Cover Letter