Principal Machine Learning Engineer - Evisort Ai

Workday

Seattle, WA, USA
Primary location base pyy range: $215,000 usd - $3...
Fully remote
Advanced llms
Knowledge graphs
Personalization
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.
  • 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’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

Primary Location Base Pay Range: $215,000 USD - $322,600 USD; Additional US Location(s) Base Pay Range: $194,600 USD - $345,600 USD; Bonus/Equity: May be eligible for Workday Bonus Plan or role-specific commission/bonus, as well as annual refresh stock grants

Skills & Requirements

Must-have

  • advanced LLMs
  • Knowledge Graphs
  • personalization
  • predictive analysis
  • ML solutions across product ecosystem
  • training, deployment, lifecycle management
  • develop and deploy new products at scale
  • continuous improvement
  • product approach

Nice-to-have

  • curious minds
  • courageous collaborators
  • sun-drenched optimism
  • drive
  • integrity
  • empathy
  • shared enthusiasm
  • teamwork

Key Requirements

  • 10+ years experience in applied ML products at scale
  • 4+ years experience in ML/deep learning frameworks
  • 6+ years experience building ML model hosting services
  • 3+ years experience with LLMs or GNNs
  • 6+ years experience with cloud computing platforms
  • Proven track record leading ML Engineering teams
  • Bachelor's degree in engineering, computer science, physics, math or equivalent

Work Rights

Not specified

Tailored Resume

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