Sr Machine Learning Engineer - Sana

Workday

Hybrid (at least 50% time in the office each quarter)
Agent infrastructure
Ai agent planning
Orchestration and tool routing
Workday is seeking a Senior Machine Learning Engineer to join their Sana AI lab, which focuses on building superintelligence for work. The role entails designing and implementing agent architectures and context engineering, with a strong emphasis on building reliable, enterprise-ready systems. The position supports a flexible work environment, prioritizing collaboration while allowing for remote work

Job Summary

  • Your work days are brighter here. 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: 85

Workday is seeking a Senior Machine Learning Engineer to join their Sana AI lab, which focuses on building superintelligence for work. The role entails designing and implementing agent architectures and context engineering, with a strong emphasis on building reliable, enterprise-ready systems. The position supports a flexible work environment, prioritizing collaboration while allowing for remote work.

Skills & Requirements

Must-have

  • agent infrastructure
  • AI agent planning
  • orchestration and tool routing
  • code generation agents
  • sandboxed code execution
  • memory, state, and context packing
  • latency, quality, and cost controls
  • safe fallbacks and error handling
  • reusable agent infrastructure
  • safety guarantees and quality improvements

Nice-to-have

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

Key Requirements

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

Work Rights

Not specified

Tailored Resume

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