Sr Machine Learning Engineer - Sana

Workday

Hybrid (50% in-office and 50% remote)
Agent architecture
Context engineering
Tool engineering
Workday is seeking a Senior Machine Learning Engineer for its AI lab, Sana, which focuses on building intelligent systems that enhance workplace productivity. The role entails developing core agent infrastructure to support AI capabilities, with a strong emphasis on engineering and collaboration within a forward-thinking team culture

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 a talent-dense, product-obsessed team of engineers and designers from companies like Google, Spotify, Apple, and Databricks, united by deep technical excellence and rapid iteration.

Matching Summary

Match Score: 85

Workday is seeking a Senior Machine Learning Engineer for its AI lab, Sana, which focuses on building intelligent systems that enhance workplace productivity. The role entails developing core agent infrastructure to support AI capabilities, with a strong emphasis on engineering and collaboration within a forward-thinking team culture.

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

  • talent-dense team
  • product-obsessed
  • rapid iteration
  • bold ideas
  • courageous collaborators
  • sun-drenched optimism

Key Requirements

  • enterprise-ready agent architectures
  • intelligent agent scaling
  • measurable quality improvements
  • continuous improvement in agent capabilities
  • durable building blocks

Work Rights

Not specified

Tailored Resume

Cover Letter