Sr Machine Learning Engineer - Sana

Workday

Fully remote
Agent architecture
Context engineering
Tool engineering
You'll build the core agent infrastructure that powers Sana's mission to bring superintelligence to work

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

You'll build the core agent infrastructure that powers Sana's mission to bring superintelligence to work.

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

  • superintelligence for work
  • augmenting people
  • talent-dense team
  • product-obsessed team
  • deep technical excellence
  • rapid iteration
  • sun-drenched optimism
  • courageous collaborators

Key Requirements

  • Enterprise-ready agent architectures
  • Scalable context and tool engineering
  • Measurable agent capabilities
  • Continuous improvement in quality and safety
  • Durable building blocks for product teams

Work Rights

Not specified

Tailored Resume

Cover Letter