Sr Machine Learning Engineer - Sana

Workday

Hybrid (50% in-office and 50% remote)
Agent architecture
Enterprise environments
Real-world complexity at scale
Workday is seeking a Senior Machine Learning Engineer to join its AI lab, Sana, focusing on building intelligent agent infrastructure for enterprise environments. The role offers a unique opportunity to work on cutting-edge AI technologies in a supportive and collaborative culture that values integrity and innovation

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 to join its AI lab, Sana, focusing on building intelligent agent infrastructure for enterprise environments. The role offers a unique opportunity to work on cutting-edge AI technologies in a supportive and collaborative culture that values integrity and innovation.

Skills & Requirements

Must-have

  • agent architecture
  • enterprise environments
  • real-world complexity at scale
  • context engineering
  • tool engineering
  • prompt engineering
  • production infrastructure

Nice-to-have

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

Key Requirements

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

Work Rights

Not specified

Tailored Resume

Cover Letter