Sr Machine Learning Engineer - Sana

Workday

Flex work (hybrid)
Ai agent infrastructure
Enterprise environments
Agent architecture
Workday is seeking a Senior Machine Learning Engineer for its AI lab, Sana, to build core agent infrastructure aimed at enhancing organizational efficiency through AI. The company emphasizes a culture of collaboration, integrity, and innovation, promoting a flexible work environment that balances remote work with in-person engagements

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 look for curious minds and courageous collaborators who bring sun-drenched optimism and drive.

Matching Summary

Match Score: 85

Workday is seeking a Senior Machine Learning Engineer for its AI lab, Sana, to build core agent infrastructure aimed at enhancing organizational efficiency through AI. The company emphasizes a culture of collaboration, integrity, and innovation, promoting a flexible work environment that balances remote work with in-person engagements.

Skills & Requirements

Must-have

  • AI agent infrastructure
  • enterprise environments
  • agent architecture
  • context engineering
  • tool engineering
  • prompt engineering

Nice-to-have

  • talent-dense team
  • product-obsessed
  • deep technical excellence
  • rapid iteration
  • sun-drenched optimism
  • courageous collaborators

Key Requirements

  • Greenfield opportunity
  • TypeScript, Kotlin, Node.js
  • Postgres, Redis
  • GCP/Kubernetes/Terraform

Work Rights

Not specified

Tailored Resume

Cover Letter