Sr Machine Learning Engineer - Sana

Workday

Hybrid (50% in-office and 50% remote)
Core agent infrastructure development
Ai agent planning and orchestration
Production infrastructure engineering
Workday is seeking a Senior Machine Learning Engineer to join their AI lab, Sana, which focuses on creating superintelligent solutions for work environments. The role involves building core agent infrastructure and emphasizes collaboration, innovation, and a supportive culture. ###

Job Summary

  • We’re obsessed with making hard work pay off, for our people, our customers, and the world around us.
  • Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when teams can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI.
  • Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.

Matching Summary

Match Score: 85

Workday is seeking a Senior Machine Learning Engineer to join their AI lab, Sana, which focuses on creating superintelligent solutions for work environments. The role involves building core agent infrastructure and emphasizes collaboration, innovation, and a supportive culture. ###

Skills & Requirements

Must-have

  • core agent infrastructure development
  • AI agent planning and orchestration
  • production infrastructure engineering
  • enterprise environments at scale
  • context, tool, and prompt engineering
  • TypeScript, Kotlin, Node.js backend

Nice-to-have

  • sun-drenched optimism and drive
  • courageous collaborators
  • deep technical excellence
  • rapid iteration
  • talent-dense, product-obsessed team

Key Requirements

  • Experience with agent architectures
  • Experience with enterprise-ready systems
  • Experience with measurable quality improvements
  • Experience with GCP/Kubernetes/Terraform

Work Rights

Not specified

Tailored Resume

Cover Letter