Principal Machine Learning Engineer

Casa Centroamerica

Pleasanton, CA, United States
Primary location base pyy range: $228,000 usd - $3...
Fully remote
Design and build core ml systems
Llm-powered agents
Rag pipelines
We’re shaping the future of work so teams can reach their potential and focus on what matters most

Job Summary

  • We’re shaping the future of work so teams can reach their potential and focus on what matters most.
  • As a Principal Machine Learning Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents.
  • This role sits at the intersection of ML and platform engineering: partnering closely with software engineers, product managers, and data scientists to integrate agents deeply into the Workday stack.

Matching Summary

We’re shaping the future of work so teams can reach their potential and focus on what matters most.

Salary

Primary Location Base Pay Range: $228,000 USD - $342,000 USD; Additional US Location(s) Base Pay Range: $190,600 USD - $342,000 USD; Bonus/Equity: May be eligible for Workday Bonus Plan or role-specific commission/bonus, annual refresh stock grants

Skills & Requirements

Must-have

  • design and build core ML systems
  • LLM-powered agents
  • RAG pipelines
  • workflow orchestration
  • production-grade AI
  • enterprise-ready solutions

Nice-to-have

  • curious minds and courageous collaborators
  • sun-drenched optimism and drive
  • tackling big challenges with bold ideas
  • genuine care and empathy

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 experience with LLMs
  • 6+ years cloud computing platforms
  • Bachelor's degree in STEM field

Work Rights

Not specified

Tailored Resume

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