Senior/principal Machine Learning Engineer

Workday

Atlanta, GA, United States
Primary location base pyy range: $228,000 usd - $3...
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Production-grade ai
Llm-powered agents
Rag pipelines
** Workday is seeking a Senior/Principal Machine Learning Engineer for a fully remote position, where they will design and build core machine learning systems for AI agents. The role emphasizes collaboration in a cross-functional team and requires extensive experience in machine learning, cloud computing, and leadership. **

Job Summary

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

Match Score: 75

** Workday is seeking a Senior/Principal Machine Learning Engineer for a fully remote position, where they will design and build core machine learning systems for AI agents. The role emphasizes collaboration in a cross-functional team and requires extensive experience in machine learning, cloud computing, and leadership. **

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 commission/bonus, annual stock grants

Skills & Requirements

Must-have

  • production-grade AI
  • LLM-powered agents
  • RAG pipelines
  • workflow orchestration
  • enterprise-ready solutions
  • ML platform engineering

Nice-to-have

  • curious minds
  • courageous collaborators
  • sun-drenched optimism
  • genuine care
  • deeply embedded into Workday's platform

Key Requirements

  • 10+ years ML product development
  • 4+ years ML/DL frameworks
  • 6+ years production ML services
  • 3+ years LLM/GNN experience
  • 6+ years cloud computing
  • 7+ years ML product development
  • 3+ years ML/DL frameworks
  • 4+ years production ML services
  • 2+ years LLM/GNN experience
  • 4+ years cloud computing

Work Rights

Not specified

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