Sr Machine Learning Engineer - Sana

Workday

Hybrid (at least 50% in-office time each quarter)
Core agent infrastructure
Ai agent planning and execution
Enterprise environments
Workday is seeking a Senior Machine Learning Engineer for its Sana AI lab, focusing on building advanced agent infrastructure that enhances workplace productivity through AI. The role emphasizes innovative architectures, context engineering, and robust error handling in a collaborative and flexible environment

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 approach enables our teams to deepen connections, maintain a strong community, and do their best work.

Matching Summary

Match Score: 85

Workday is seeking a Senior Machine Learning Engineer for its Sana AI lab, focusing on building advanced agent infrastructure that enhances workplace productivity through AI. The role emphasizes innovative architectures, context engineering, and robust error handling in a collaborative and flexible environment.

Skills & Requirements

Must-have

  • core agent infrastructure
  • AI agent planning and execution
  • enterprise environments
  • agent architecture
  • context engineering
  • tool engineering
  • prompt engineering
  • production infrastructure
  • TypeScript
  • Kotlin
  • Node.js
  • React
  • Postgres
  • Redis
  • GCP
  • Kubernetes
  • Terraform

Nice-to-have

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

Key Requirements

  • 50% of time in office or field quarterly

Work Rights

Not specified

Tailored Resume

Cover Letter