Senior/principal Machine Learning Engineer

Workday

Atlanta, GA, USA
Primary location base pyy range: $228,000 usd - $3...
Hybrid (at least 50% in-office time per quarter)
Machine learning engineering
Deep learning frameworks
Production ml services
Workday is seeking a Senior/Principal Machine Learning Engineer to join their cross-functional AI team, focusing on the development of core ML systems for intelligent agents. The ideal candidate will have extensive experience in applied machine learning, particularly with large language models and cloud computing, and will thrive in a collaborative, innovative environment that prioritizes trust and growth

Job Summary

  • We’re shaping the future of work so teams can reach their potential and focus on what matters most.
  • Agent Factory is where Workday’s next chapter gets built, forming small, senior, cross-functional AI teams to create intelligent agents used by millions of people every day.
  • In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul.

Matching Summary

Match Score: 85

Workday is seeking a Senior/Principal Machine Learning Engineer to join their cross-functional AI team, focusing on the development of core ML systems for intelligent agents. The ideal candidate will have extensive experience in applied machine learning, particularly with large language models and cloud computing, and will thrive in a collaborative, innovative environment that prioritizes trust and growth.

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

  • Machine Learning Engineering
  • Deep Learning Frameworks
  • Production ML Services
  • Large Language Models
  • Cloud Computing Platforms
  • Agentic Architectures
  • RAG Pipelines

Nice-to-have

  • Curious minds
  • Courageous collaborators
  • Sun-drenched optimism
  • Genuine care
  • Empathy
  • Shared enthusiasm

Key Requirements

  • 10+ years ML product experience (P5)
  • 7+ years ML product experience (P4)
  • 4+ years ML/DL frameworks (P5)
  • 3+ years ML/DL frameworks (P4)
  • 6+ years production ML services (P5)
  • 4+ years production ML services (P4)
  • 3+ years LLM/GNN experience (P5)
  • 2+ years LLM/GNN experience (P4)
  • 6+ years cloud computing (P5)
  • 4+ years cloud computing (P4)
  • Lead/mentor ML teams
  • Bachelor's degree (Master's/PhD preferred)

Work Rights

Not specified

Tailored Resume

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