Senior/principal Machine Learning Engineer

Workday

Atlanta, Georgia, USA
Base: $228,000 - $342,000 usd (atlanta); base: $19...
Fully remote
10+ years applied machine learning experience
4+ years pytorch or tensorflow frameworks
6+ years hosting ml models in production
This role involves designing and building core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod

Job Summary

  • This role involves designing and building core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod.
  • The team focuses on production-grade AI deeply embedded into the platform rather than research experiments or maintenance work.
  • Candidates will receive trust to take risks, tools to grow, and support from a company invested in their long-term development.

Matching Summary

This role involves designing and building core ML systems behind Workday's next generation of AI agents within a small, senior cross-functional pod.

Salary

Base: $228,000 - $342,000 USD (Atlanta); Base: $190,600 - $342,000 USD (Other US locations); Bonus/Equity: Eligible for Workday Bonus Plan and annual refresh stock grants

Skills & Requirements

Must-have

  • 10+ years applied machine learning experience
  • 4+ years PyTorch or TensorFlow frameworks
  • 6+ years hosting ML models in production
  • 3+ years LLM and graph neural network experience
  • 6+ years cloud computing platforms AWS GCP

Nice-to-have

  • Curious minds and courageous collaborators
  • Sun-drenched optimism and drive
  • Experience with autonomous agent architectures
  • Strong interpersonal and communication skills
  • Deep understanding of statistical analysis

Key Requirements

  • Bachelor's degree in engineering, computer science, physics, math or equivalent
  • Master's or PhD preferred
  • Proven track record leading ML Engineering teams
  • Ownership of development lifecycle and sprint planning

Work Rights

Not specified

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