Principal Machine Learning Engineer

Embeda

Pleasanton, CA, United States
Base: $228,000 - $342,000 usd (pleasanton); bonus/...
Fully remote
Applied machine learning product development
Machine learning and deep learning frameworks
Production-scale ml model hosting
As a Principal Machine Learning Engineer, you will own the full lifecycle of ML systems powering Workday’s next generation AI agents, from problem framing to continuous improvement

Job Summary

  • As a Principal Machine Learning Engineer, you will own the full lifecycle of ML systems powering Workday’s next generation AI agents, from problem framing to continuous improvement.
  • You will work within a small, senior, cross-functional pod to build scalable, observable, and enterprise-ready AI agent frameworks embedded deeply into Workday’s platform.
  • Workday offers a culture rooted in integrity, empathy, and collaboration, with flexible hybrid work arrangements and a comprehensive compensation and benefits package.

Matching Summary

As a Principal Machine Learning Engineer, you will own the full lifecycle of ML systems powering Workday’s next generation AI agents, from problem framing to continuous improvement.

Salary

Base: $228,000 - $342,000 USD (Pleasanton); Bonus/Equity: Eligible for bonus 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 experience
  • ML engineering team leadership

Nice-to-have

  • Cross-functional AI team collaboration
  • Strong engineering judgment
  • Innovation in agentic architectures
  • Empathy and integrity culture
  • Flexible hybrid work environment

Key Requirements

  • 10+ years applied machine learning experience
  • 4+ years with ML and deep learning frameworks
  • 6+ years building production ML services
  • 3+ years working with LLMs and text generation
  • 6+ years cloud platform experience
  • Proven ML engineering team leadership
  • Bachelor’s degree in relevant field (Master’s or PhD preferred)

Work Rights

Not specified

Tailored Resume

Cover Letter