Sr Machine Learning Engineer - Sana

Workday

Hybrid (50% in-office or field engagement required quarterly)
Core agent infrastructure
Multi-step planning and orchestration
Code generation agents
Workday is seeking a Senior Machine Learning Engineer for its Sana AI lab, focusing on creating intelligent agents that enhance workplace efficiency. The ideal candidate will work on building core infrastructure for AI agents, collaborating with a talented team in a fully remote setting

Job Summary

  • You'll build the core agent infrastructure that powers Sana's mission to bring superintelligence to work.
  • This is a greenfield opportunity to define how AI agents plan, reason, and execute across enterprise environments—building systems that reliably handle real-world complexity at scale.
  • Our culture is rooted in integrity, empathy, and shared enthusiasm.

Matching Summary

Match Score: 85

Workday is seeking a Senior Machine Learning Engineer for its Sana AI lab, focusing on creating intelligent agents that enhance workplace efficiency. The ideal candidate will work on building core infrastructure for AI agents, collaborating with a talented team in a fully remote setting.

Skills & Requirements

Must-have

  • core agent infrastructure
  • multi-step planning and orchestration
  • code generation agents
  • sandboxed code execution
  • memory and state management
  • context packing and grounding
  • latency, quality, and cost controls

Nice-to-have

  • sun-drenched optimism
  • courageous collaborators
  • deep technical excellence
  • rapid iteration

Key Requirements

  • Enterprise-ready agent architectures
  • Intelligent agent scaling
  • Measurable quality improvements

Work Rights

Not specified

Tailored Resume

Cover Letter