Sr Machine Learning Engineer - Sana

Workday

Hybrid (50% in-person quarterly)
Agent architecture
Context engineering
Tool engineering
Workday is seeking a Senior Machine Learning Engineer to join their AI lab, Sana, focusing on developing advanced AI agents to enhance workplace efficiency. The role involves architecting systems for agent infrastructure and requires expertise in various programming languages and technologies, along with a collaborative mindset

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 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, focusing on developing advanced AI agents to enhance workplace efficiency. The role involves architecting systems for agent infrastructure and requires expertise in various programming languages and technologies, along with a collaborative mindset.

Skills & Requirements

Must-have

  • agent architecture
  • context engineering
  • tool engineering
  • prompt engineering
  • production infrastructure
  • code generation agents
  • sandboxed code execution

Nice-to-have

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

Key Requirements

  • TypeScript, Kotlin, Node.js backend experience
  • Postgres, Redis database experience
  • GCP/Kubernetes/Terraform cloud infra experience

Work Rights

Not specified

Tailored Resume

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