Senior/principal Machine Learning Engineer

Harkett

Atlanta, GA, United States
Base: $228,000 - $342,000 usd (atlanta); $190,600 ...
Fully remote
Applied machine learning product development
Machine learning and deep learning frameworks
Production-scale ml model hosting
As a Senior/Principal Machine Learning Engineer, you will design and build the core ML systems behind Workday’s next generation of AI agents, working end to end from problem framing to deployment and continuous improvement

Job Summary

  • As a Senior/Principal Machine Learning Engineer, you will design and build the core ML systems behind Workday’s next generation of AI agents, working end to end from problem framing to deployment and continuous improvement.
  • The role offers autonomy to shape how AI agents reason, act, and scale responsibly within a high trust, high expectations environment focused on real impact.
  • Workday provides a flexible work approach combining in-person and remote time, with a culture rooted in integrity, empathy, and shared enthusiasm.

Matching Summary

As a Senior/Principal Machine Learning Engineer, you will design and build the core ML systems behind Workday’s next generation of AI agents, working end to end from problem framing to deployment and continuous improvement.

Salary

Base: $228,000 - $342,000 USD (Atlanta); $190,600 - $342,000 USD (other US locations); Bonus/Equity: Eligible for bonus plan and stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • Applied machine learning product development
  • Machine learning and deep learning frameworks
  • Production-scale ML model hosting
  • Large language models and text generation
  • Cloud computing platforms expertise
  • ML engineering team leadership

Nice-to-have

  • Cross-functional AI team collaboration
  • Strong engineering judgment
  • Innovation and continuous improvement culture
  • Excellent interpersonal and communication skills
  • Solving ambiguous open-ended problems

Key Requirements

  • 10+ years applied machine learning experience (Principal)
  • 7+ years applied machine learning experience (Senior)
  • 4+ years ML frameworks experience (Principal)
  • 3+ years ML frameworks experience (Senior)
  • 6+ years production ML model hosting (Principal)
  • 4+ years production ML model hosting (Senior)
  • 3+ years LLM and graph neural network experience (Principal)
  • 2+ years LLM and graph neural network experience (Senior)
  • 6+ years cloud platform experience (Principal)
  • 4+ years cloud platform experience (Senior)
  • Proven ML engineering team leadership
  • Bachelor’s degree required; Master’s or PhD preferred

Work Rights

Not specified

Tailored Resume

Cover Letter