Sr Machine Learning Engineer - Sana

Workday

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Agent architecture
Context engineering
Tool engineering
** Workday is seeking a Senior Machine Learning Engineer to join their AI lab, Sana, which focuses on building intelligent solutions for work. The role involves architecting AI agent infrastructure to enhance organizational productivity and requires expertise in planning, tooling, and engineering for enterprise environments. **

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; we’re in this together, tackling big challenges with bold ideas and genuine care.

Matching Summary

Match Score: 75

** Workday is seeking a Senior Machine Learning Engineer to join their AI lab, Sana, which focuses on building intelligent solutions for work. The role involves architecting AI agent infrastructure to enhance organizational productivity and requires expertise in planning, tooling, and engineering for enterprise environments. **

Skills & Requirements

Must-have

  • agent architecture
  • context engineering
  • tool engineering
  • prompt engineering
  • production infrastructure
  • code generation agents
  • sandboxed code execution
  • memory and state management
  • latency quality cost controls
  • safe fallbacks and error handling

Nice-to-have

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

Key Requirements

  • TypeScript
  • Kotlin
  • Node.js
  • React
  • Tailwind
  • Postgres
  • Redis
  • GCP/Kubernetes/Terraform

Work Rights

Not specified

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