Sr Machine Learning Engineer - Sana

Workday

Fully remote
Agent infrastructure
Ai agents plan, reason, execute
Enterprise environments
Workday is seeking a Senior Machine Learning Engineer for its Sana AI lab, focused on developing transformative AI technologies that enhance workplace efficiency. This fully remote role involves building core agent infrastructure to enable intelligent planning and execution across enterprise environments

Job Summary

  • We’re obsessed with making hard work pay off, for our people, our customers, and the world around us.
  • You'll build the core agent infrastructure that powers Sana's mission to bring superintelligence to work.
  • 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, focused on developing transformative AI technologies that enhance workplace efficiency. This fully remote role involves building core agent infrastructure to enable intelligent planning and execution across enterprise environments.

Skills & Requirements

Must-have

  • agent infrastructure
  • AI agents plan, reason, execute
  • enterprise environments
  • agent architecture
  • context, tool, prompt engineering
  • production infrastructure
  • TypeScript, Kotlin, Node.js
  • GCP/Kubernetes/Terraform

Nice-to-have

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

Key Requirements

  • greenfield opportunity
  • define how AI agents plan
  • reliably handle real-world complexity
  • architect multi-step planning
  • implement code generation agents
  • engineer memory, state, context
  • balance latency, quality, cost
  • develop safe fallbacks
  • establish safety guarantees

Work Rights

Not specified

Tailored Resume

Cover Letter