Sr Machine Learning Engineer - Sana

Workday

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Agent architecture
Context engineering
Tool engineering
** Workday is seeking a Sr Machine Learning Engineer for their Sana AI lab, focused on developing intelligent agent systems that enhance workplace efficiency. The position emphasizes a collaborative culture rooted in integrity and innovation, offering a greenfield opportunity to work with advanced AI technologies in a fully remote 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.
  • We’re committed to building AI that augments people - not replaces them.

Matching Summary

Match Score: 75

** Workday is seeking a Sr Machine Learning Engineer for their Sana AI lab, focused on developing intelligent agent systems that enhance workplace efficiency. The position emphasizes a collaborative culture rooted in integrity and innovation, offering a greenfield opportunity to work with advanced AI technologies in a fully remote environment. **

Skills & Requirements

Must-have

  • agent architecture
  • context engineering
  • tool engineering
  • prompt engineering
  • production infrastructure
  • TypeScript
  • Kotlin
  • Node.js
  • Postgres
  • Redis
  • GCP/Kubernetes/Terraform

Nice-to-have

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

Key Requirements

  • Enterprise-ready agent architectures
  • Intelligent agent action at scale
  • Measurable quality and safety improvements
  • Durable building blocks for product teams

Work Rights

Not specified

Tailored Resume

Cover Letter