Sr Machine Learning Engineer - Sana

Workday

**
Agent architecture
Context engineering
Tool engineering
** Workday is seeking a Sr Machine Learning Engineer to join their AI lab, Sana, to develop agent infrastructure that enables superintelligence in workplace environments. Ideal candidates will have strong technical skills in AI, architecture, and engineering, and will thrive in a collaborative, innovative culture focused on employee well-being and growth. **

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 culture is rooted in integrity, empathy, and shared enthusiasm.

Matching Summary

Match Score: 75

** Workday is seeking a Sr Machine Learning Engineer to join their AI lab, Sana, to develop agent infrastructure that enables superintelligence in workplace environments. Ideal candidates will have strong technical skills in AI, architecture, and engineering, and will thrive in a collaborative, innovative culture focused on employee well-being and growth. **

Skills & Requirements

Must-have

  • agent architecture
  • context engineering
  • tool engineering
  • prompt engineering
  • production infrastructure
  • multi-step planning
  • orchestration
  • tool routing
  • code generation agents
  • sandboxed code execution
  • memory and state management
  • latency, quality, cost controls
  • safe fallbacks
  • graceful degradation
  • robust error handling
  • reusable agent infrastructure
  • safety guarantees
  • measurable quality improvements

Nice-to-have

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

Key Requirements

  • TypeScript
  • Kotlin
  • Node.js
  • React
  • Tailwind
  • Postgres
  • Redis
  • GCP/Kubernetes/Terraform

Work Rights

Not specified

Tailored Resume

Cover Letter