Sr Machine Learning Engineer - Sana

Workday

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Agent architecture
Context engineering
Tool engineering
** Workday is seeking a Senior Machine Learning Engineer for their Sana AI lab, which focuses on developing intelligent systems that enhance workplace productivity. The role involves building robust agent infrastructure, emphasizing collaboration, innovation, and a flexible work environment. **

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.
  • We build on a simple modern stack optimized for both humans and AI.

Matching Summary

Match Score: 75

** Workday is seeking a Senior Machine Learning Engineer for their Sana AI lab, which focuses on developing intelligent systems that enhance workplace productivity. The role involves building robust agent infrastructure, emphasizing collaboration, innovation, and a flexible work environment. **

Skills & Requirements

Must-have

  • agent architecture
  • context engineering
  • tool engineering
  • prompt engineering
  • production infrastructure
  • code generation agents
  • sandboxed code execution
  • memory, state, and context packing/grounding strategies
  • latency, quality, and cost controls

Nice-to-have

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

Key Requirements

  • Enterprise-ready agent architectures
  • Measurable quality improvements
  • Durable building blocks

Work Rights

Not specified

Tailored Resume

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