Principal Machine Learning Engineer - Evisort Ai

Workday

Seattle, WA, USA
Primary location base pyy range: $215,000 usd - $3...
Fully remote
Applied machine learning products at scale
Machine learning and deep learning frameworks
Hosting machine learning models in production
Our mission is to change the way business deals get done by building ground breaking AI technology that can read and understand contract language to make every part of the deal-making process happen faster, better, with reduced risks

Job Summary

  • Our mission is to change the way business deals get done by building ground breaking AI technology that can read and understand contract language to make every part of the deal-making process happen 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, and we look for curious minds and courageous collaborators who bring sun-drenched optimism and drive.

Matching Summary

Our mission is to change the way business deals get done by building ground breaking AI technology that can read and understand contract language to make every part of the deal-making process happen faster, better, with reduced risks.

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

  • applied machine learning products at scale
  • machine learning and deep learning frameworks
  • hosting machine learning models in production
  • large language models (LLMs)
  • cloud computing platforms
  • leading ML Engineering teams

Nice-to-have

  • curious minds and courageous collaborators
  • sun-drenched optimism and drive
  • continuous improvement and passion for quality
  • product approach and strong intuition
  • advancements in AI, LLMs, RAG
  • statistical analysis and NLP algorithms

Key Requirements

  • 10+ years experience in applied ML products
  • 4+ years in ML/deep learning frameworks
  • 6+ years building ML model hosting services
  • 3+ years with LLMs or GNNs
  • 6+ years with cloud computing platforms
  • Bachelor's degree in STEM field

Work Rights

Not specified

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