Sr Machine Learning Engineer - Sana

Workday

Hybrid (minimum 50% in-office or field time per quarter)
Agent architecture
Context engineering
Tool engineering
Workday is seeking a Senior Machine Learning Engineer for their Sana AI lab, focused on building intelligent systems that enhance workplace efficiency. The position offers a unique opportunity to develop agent infrastructure in a collaborative, flexible remote work 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.
  • We're a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks.

Matching Summary

Match Score: 85

Workday is seeking a Senior Machine Learning Engineer for their Sana AI lab, focused on building intelligent systems that enhance workplace efficiency. The position offers a unique opportunity to develop agent infrastructure in a collaborative, flexible remote work 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

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

Key Requirements

  • Enterprise-ready agent architectures
  • Intelligent agent action at scale
  • Measurable quality and safety improvements

Work Rights

Not specified

Tailored Resume

Cover Letter